{"id":11504,"date":"2024-05-03T23:00:11","date_gmt":"2024-05-03T23:00:11","guid":{"rendered":"https:\/\/notesbard.com\/?p=11504"},"modified":"2024-04-26T19:48:58","modified_gmt":"2024-04-26T19:48:58","slug":"19-postdoctoral-jobs-at-university-of-luxembourg-luxembourg","status":"publish","type":"post","link":"https:\/\/notesbard.com\/19-postdoctoral-jobs-at-university-of-luxembourg-luxembourg\/","title":{"rendered":"19 Postdoctoral Jobs at University of Luxembourg, Luxembourg"},"content":{"rendered":"
If you’re a PhD degree holder and seeking postdoctoral fellowships, University of Luxembourg, Luxembourg has several online applications open. Explore the opportunities across diverse research areas and submit your application soon.<\/span><\/p>\n The Department of Engineering (DoE) is a multidisciplinary department within the Faculty of Sciences, Technology, and Medicine. The Department of Engineering covers a wide range of engineering fields, including civil, electrical, mechanical engineering, and geophysics. Its primary objective is to develop technological solutions and promote sustainable and economical resource utilisation. The Department aims to provide the necessary expertise to meet the technological demands of Luxembourg and the Greater Region’s industrial and public sectors. One notable aspect of the Department’s research focus is the utilisation of numerical simulation techniques and their validation.<\/span><\/p>\n Application Deadline:<\/strong> Open Until Filled<\/span><\/p>\n View Details<\/span><\/strong><\/span><\/a><\/p>\n Methodological advances enable a deeper characterization of tissues on the cellular (single-cell omics) and spatial level (imaging). Computational methods are needed for data integration and for gaining deeper insights, e.g., into metabolic rewiring in neurodegenerative diseases. In this project we aim to 1. Further develop a computational approach for the integration of single-cell RNA-Seq and imaging data towards the detailed metabolic network modelling of brain tissue on a multi-cell population level. 2. Apply this framework for the deeper characterization of metabolic alterations in neurodegenerative diseases and for the prediction of novel drug candidates and combinations.<\/span><\/p>\n Application Deadline:<\/strong> Open Until Filled<\/span><\/p>\n View Details<\/span><\/strong><\/span><\/a><\/p>\n <\/p>\n The Faculty of Science, Technology and Medicine (FSTM) contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission of teaching and research, the FSTM seeks to generate and disseminate knowledge and train new generations of responsible citizens, in order to better understand, explain and advance society and environment we live in. A postdoc position is available at the Laboratory for Photovoltaics, led by Prof. Siebentritt, in the Department of Physics and Materials Science (DPhyMS) at the University of Luxembourg. This position is for a collaborative project which aims at understanding materials in highly efficient thin film photovoltaic devices.<\/span><\/p>\n Application Deadline:<\/strong> Open Until Filled<\/span><\/p>\n View Details<\/span><\/strong><\/span><\/a><\/p>\n <\/p>\n The researcher develops a digital workflow for preserving and disclosing newly conducted and existing oral history interviews. The researcher develops a best practice guideline for a unified informed consent procedure, as well as data protection and ethical practices in using the oral history methodology at C2DH. The researcher cooperates with colleagues of the Data Research Infrastructure Unit and the Research Area Public History at C2DH, as well as the Media Centre of the University of Luxembourg, to create a pipeline for the digital preservation of oral history interviews within the software tool Cat-DV, as well as the public disclosing of a selection of these interviews on the sustainable digital social hub Historesch Gesinn: https:\/\/www.c2dh.uni.lu\/projects\/historesch-gesinn.<\/span><\/p>\n Application Deadline:<\/strong> Open Until Filled<\/span><\/p>\n View Details<\/span><\/strong><\/span><\/a><\/p>\n <\/p>\n We are looking for a candidate with a strong background in human stem cell research, additionally proven experience in either high content imaging or reprogramming of somatic cells into pluripotency is necessary. Experience in computational image analysis and multi-electrode array technologies is a strong plus. A successful candidate should be willing to take leadership and responsibility for this demanding project. We are looking for highly motivated candidates who share our passion for research, are interested in acquiring new skills and wish to be part of an international team.<\/span><\/p>\n Application Deadline:<\/strong> Open Until Filled<\/span><\/p>\n View Details<\/span><\/strong><\/span><\/a><\/p>\n <\/p>\n The SigCom research group carries out research activities in the areas of signal processing for wireless communication systems including satellite communications and radar systems and is currently expanding its research activities in exploring several emerging use cases of next generation wireless communications systems.\u00a0<\/span><\/p>\n Application Deadline:<\/strong> Open Until Filled<\/span><\/p>\n View Details<\/span><\/strong><\/span><\/a><\/p>\n <\/p>\n The objective of the SEaSons project is to investigate how different occupational groups imagine sustainable futures. In European latitudes, our assumption is that climate issues are experienced through the seasons and their relevance for food, transport, housing and energy. The study sets out with a qualitative study with a group of people we call \u2018technical experts\u2019, de facto stewards of sustainable climate action. At the same time their knowledge is – to varying degrees – marginal in the common discourses on transition politics and behavioral change. To reconstruct this knowledge, we will employ an innovative visual methodology combined with an interview methodology.<\/span><\/p>\n Application Deadline:<\/strong> Open Until Filled<\/span><\/p>\n View Details<\/span><\/strong><\/span><\/a><\/p>\n <\/p>\n The postdoctoral researcher will be working under the supervision of Professor Niovi Vavoula. In particular, the Postdoctoral Researcher will be in charge of: Application Deadline:<\/strong> Open Until Filled<\/span><\/p>\n View Details<\/span><\/strong><\/span><\/a><\/p>\n <\/p>\n As a Postdoctoral Researcher, you will develop and implement federated analytical workflows tailored for health research. You will apply AI\/ML algorithms to analyse a diverse range of data types, including clinical, molecular (-omics), and (sensor\/mobile and PROMs\/PREMs) within a federated environment. Additionally, you will innovate state-of-the-art federated AI\/ML methods, to ensure privacy and data security in clinical research. To augment federated analysis, you will be generating synthetic data using ML techniques, such as Generative Adversarial Networks (GANs). Your workflows and methods will be incorporated by a multidisciplinary team into the CLINNOVA platform for federated data management and analysis. You will take an active role on project activities and effectively disseminating findings to the project members and the scientific community through project meeting, conferences and publications.<\/span><\/p>\n Application Deadline:<\/strong> Open Until Filled<\/span><\/p>\n View Details<\/span><\/strong><\/span><\/a><\/p>\n <\/p>\n The role of the TCP group, led by Prof. Alexandre Tkatchenko from the University of Luxemburg, is to develop reliable, efficient, and accurate machine learning force fields (MLFF) for molecular dynamics simulation of systems sizes ranging from ~1000 to 100.000 atoms while preserving the predictive power of first-principles modeling. Moreover, such simulations should correctly reproduce the formation and propagation of defects. This is a must-have requirement for any MLFF used to improve the stability of any material in general and 3D lead halide perovskites in particular. The novel equivariant MLFFs will be used with state-of-the-art training and sampling approaches, efficient DFT calculations, and recent developments in vdW methods to achieve this goal. These push the project to the frontiers of modern MLFF capabilities, making it challenging, engaging, and impactful.<\/span><\/p>\n Application Deadline:<\/strong> Open Until Filled<\/span><\/p>\n View Details<\/span><\/strong><\/span><\/a><\/p>\n <\/p>\n The research group focuses on wireless\/satellite communications and networking and is headed by Prof. Symeon Chatzinotas. The research areas focus on the formulation, modeling, design, and analysis of future 5G and beyond communication networks that are capable of supporting new services in a cost-efficient manner. Use cases of interest include IoT verticals, unmanned aerial vehicles, integrated satellite-space-terrestrial networks, quantum communications and key distribution, spectrum management and coexistence, tactile Internet, and autonomous transportation. As far as technical enablers are concerned, we leverage expertise on massive MIMO cell-free communications, smart-radio environments through the use of intelligent surfaces, machine-type and ultra-reliable and low-latency communications, edge computing and caching, RAN slicing, and network softwarization and visualization.<\/span><\/p>\n Application Deadline:<\/strong> Open Until Filled<\/span><\/p>\n View Details<\/span><\/strong><\/span><\/a><\/p>\n The Faculty of Science, Technology and Medicine (FSTM) contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission of teaching and research, the FSTM seeks to generate and disseminate knowledge and train new generations of responsible citizens, in order to better understand, explain and advance society and environment we live in. The Department of Mathematics (DMATH) of the University of Luxembourg has an opening for a Postdoctoral researcher position.<\/span><\/p>\n Application Deadline:<\/strong> Open Until Filled<\/span><\/p>\n View Details<\/span><\/strong><\/span><\/a><\/p>\n <\/p>\n Successful candidates will join the young, vibrant, and interdisciplinary FINATRAX Research Group, which builds bridges between business research and information systems engineering. The group conducts research on the application and the impact of digital technologies like DLT\/Blockchain, Digital Identities, Machine Learning\/AI, and IoT\/5G on organisations from both the private and public sectors. The group consists of doctoral and post-doctoral researchers from diverse backgrounds (e.g., policy, business, technology), united in pursuit of sustainable technologies that positively impact society.\u00a0<\/span><\/p>\n1. Postdoctoral Job<\/span><\/h1>\n
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\nConduct research and contributing to other activities falling into the scope of the research projects, in particular: drafting research papers, prepare the scientific materials of project meetings; contributing to project events\u2019 organisation
\nConduct own research in the related topics and publication of articles in scientific reviews and contributions to conferences
\nAssist with teaching activities, one to three hours a week and contribute to tutoring students
\nContribute to preparing further research proposals
\nOffer research assistance and coordinating young researchers working in the same field<\/span><\/p>\n9. Postdoctoral Job<\/span><\/h1>\n
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