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Master/engineer degree in computer science, applied mathematics, data science with background in image processing, imaging inverse problems, deep learning and optimisation. Good coding skills for numerical
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Stochastic processes ODE/PDE modeling Control theory This theoretical expertise must be paired with a demonstrated interest and track record in biological applications, particularly in areas such as gene
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. The closing date for applications is Monday, 20th October 2025. However, we encourage early application. The review process will begin in late September/early October. All applications will be treated in
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early application. The review process will begin in late September/early October. All applications will be treated in the strictest confidence. General Information: Anne Beffort Excellence Programme
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) — to join our team. You will be directly involved in developing and optimizing ion beam processes to improve device performance in MRAM and magnetic sensor applications. Beyond R&D, we are looking for a
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The candidate should preferably have a PhD in Computer Science or Robotics with a solid background on deep learning and 3D scene understanding. Experience with LiDAR and Computer Vision is a plus. The candidate
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complicates both learning and inference processes. Another challenge is that dynamic structured data are generated by a variety of sensors and infrastructures that continuously produce, disseminate, and store
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genetics, genomics, imaging processes, computational biology and biochemistry. Our goal is the deep and detailed understanding of fundamental mechanisms in plant biology that may then also be used to develop
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cells from the skull bone marrow to neurodegenerative processes using cutting-edge tools in neuroimmunology. The selected intern will work closely with our team to perform and analyze experiments
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Application procedure: Interested candidates should send an e-mail with their CV, their transcripts and two possible referee contacts to marco.corneli@univ-cotedazur.fr and emmanuelle.vila@mom.fr