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Your profile described below? Are you our future colleague? Apply now! Education · PhD degree in Chemical Engineering, Process Engineering, Applied Chemistry or a closely related field, with a
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Context and PhD objectives Conventional optical microscopy techniques, as confocal microscopes, are widely used in biology for cellular and sub-cellular structures investigation. However, their
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observed in Drosophila larvae. This interdisciplinary project combines biology, neuroscience, and computational modelling to understand how the larva’s body’s physical properties influence its motor control
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train robust machine learning (ML) algorithms without exchanging the actual data. The benefits of such a decentralized technology over personal and confidential data are multiple and already include some
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dynamic research environments, exhaustive training opportunities and institutional collaborations. The PhD candidate will benefit from the computational resources available at CEPAM (GPU servers). He/She
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meetings For further information, please contact Assoc. Prof. Carole Linster (email address: ). Your profile PhD degree in molecular biology, cell biology, biochemistry, genetics, or another similar life
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activities Present results in international conferences and workshops Your profile A PhD degree in Computer Science, Physics or a related field Strong background in understanding plasma physics and
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. This pluridisciplinary research team is led by Claudine Backes, PhD, Scientific Director of the National Cancer Registry of Luxembourg (Registre National du Cancer (RNC)) and head of the Cancer and Prevention Epidemiology
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PhD degree in Computer Science, Physics or a related field Experience with parallel programming models Strong programming skills in C/C++ and/or Python Knowledge of distributed memory programming with
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The candidate will have a PhD or equivalent degree in bioinformatics, biostatistics, computational biology, machine learning, or related subject areas Prior experience in large-scale data processing and