96 web-programmer-developer-"https:"-"https:"-"https:"-"https:" positions in Luxembourg
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their results on advanced equipment. For further information, you may check: wwwen.uni.lu/snt/research/spacer and www.spacer.lu The candidate should develop the following tasks:
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to science and society. Successful candidates will join the Computational Biology group, led by Prof. Antonio del Sol, which develops computational models to address challenges in stem cell research, aging and
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The FACTS project is a successfully funded applied research project developing a new generation of compact, fast thermal sensing devices for demanding industrial and research environments. The work
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The SnT is seeking a Postdoc to support the research and development work within the SEDAN group. We seek a candidate with expertise and/or interest in the following relevant fields: machine
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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. We
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experience in the following areas: Applied Machine Learning for Autonomous Systems: Experience developing and deploying ML models for perception, prediction, or decision-making in autonomous driving or robotic
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The position is located within the Institute for Social Research and Interventions, which is dedicated to critical and multidisciplinary perspectives on societal transformation and human development
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approach and study the interconnectedness of human activities and the environment. Our mission is to develop sustainable, socially just, and environmentally friendly solutions by bridging disciplines and
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an ambitious research program. It will utilize a data-driven approach to support decision-making for an optimal energy system, with specific focus on cost-effectiveness, emission reduction, and social
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, particularly those affected by REM sleep behavior disorder (RBD), a high-risk group for developing PD. Using cutting-edge technologies including iPSC-based dopaminergic neuron modeling, single-cell