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Does this job appeal to you? You can apply via jobs‧vub‧be before July 27. To apply, you will need to upload the following documents: CV, cover letter, and diploma(s). Our selection process will
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collaborations across disciplines - in particular between computer science, mathematics, electrical engineering and physics - with private and public stakeholders in Luxembourg and abroad Contribute to teaching
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) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission of teaching and
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, and stakes. This PhD is grounded in Science & Technology Studies (STS) and Responsible Innovation (RI) scholarship, and treats reflexivity not as a checklist exercise but as a living, relational process
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Machine Learning, Trustworthy AI, and physics informed learning. The group is developing novel methods, tools, and platforms to support the safe deployment of AI systems in real-world environments. Current
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, study the influence of growth conditions and process parameters and evaluate the resulting materials in terms of their mechanical performance. You will also, to a limited extend, contribute to teaching
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Does this job appeal to you? Then apply before 27/07 via jobs‧vub‧be and upload the following documents: CV, cover letter, and diploma. Our application process is as follows: Step 1: CV screening
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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
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explore calibration and compensation techniques for process variation, drift and sensor cross-talk. You will contribute to the co-design of multimodal sensor systems and integrated electronics, enabling
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and junior research associates Prepare and contribute to European and National research proposals to sustain the group's strategic research Your profile PhD in Engineering, Computer Science, Physics