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Situational Awareness, Planning and Control for Autonomous Robots using S-Graphs), funded by the Luxembourg National Research Fund (FNR). The successful candidate will work under the main supervision of Prof
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biomedical research. Your profile Master's degree in computer science or related discipline Experience with Python and recent deep learning frameworks (e.g. Pytorch, MONAI) Strong interest in image analysis
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the final thesis. The first year of the Ph.D. programme corresponds to the Master in Quantitative Economics and Finance (MQEF). All courses are in English and taught by local faculty and visiting scholars
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contact Prof. Stéphane Bordas ( ) with CC to Dr. Jakub Lengiewicz ( ). Your profile A Master's degree in Applied Mathematics, Computational Science, Physics, Engineering, or a closely related discipline
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participation in phantom and clinical studies with CHL More information about the team and environment: Computational Mechanics (Legato), Legato Team site , Legato YouTube Your profile Master's degree in
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interdisciplinary teams of computational biologists, neuroscientists, and clinicians Prepare manuscripts, reports, and present findings at national and international conferences Your profile Master's degree in
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science, and engineering. The ideal applicant brings not only strong technical skills, but also the mindset needed to thrive in a highly collaborative, interdisciplinary research environment. Master's
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please contact Prof. Lavasan Your profile Master's degree in Geotechnical Engineering or closely related field Solid background in soil mechanics and numerical modeling in geotechnics Strong skills in data
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expected to contribute to other activities and tasks within the ENER-G project. The main outcome(s) of the PhD will be novel optimisation models and solution algorithms that will substantially advance