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? Are you our future colleague? Apply now! Required Qualifications Master degree or PhD in Computer Science or related topic in the sectors of Smart Cities, AI/Robotics, Computer Science, Urban Systems
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procedure. In this context, the proposed PhD project aims to develop an innovative strategy to evaluate the efficiency and quality of surgical care. This strategy is based on data science, combining
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Virtual laboratory to predict the ability of a fluctuating biomass to satisfy a material use-VARIOUS
specifically linked to this position other than those inherent to the profession of researcher (trips during the week, sometimes at weekends…). Training and skills PhD or equivalent In terms of disciplines
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have a PhD in biochemistry or structural biology. The applicant should have a strong experience in cryo-EM or crystallography AND/OR in eukaryotic or membrane protein biochemistry. The applicant should
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for competitive fellowships during their first year with us. The ideal candidate will be recruited by summer 2025. We are particularly seeking postdoc candidates who have recently completed their PhD with a
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Curriculum vitae Writing sample: either a published journal article or an excerpt from PhD/unpublished draft paper (in which case no longer than 8000 words) Copies of diplomas Names and contact details of two
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Key Skills, Experience and Qualifications Master/PhD in epidemiology, a medical background with specialization in Public Health Medicine would be an asset. Experience in cancer epidemiology and / or in
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of the auditory pathway using multi-electrode arrays. Requirements We are looking for individuals who want to study neural coding in the context of hearing and who meet the following criteria: 1) PhD in
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Description This PhD project bridges computational neuroscience and machine learning to study the mechanisms of active forgetting—or unlearning—through the lens of both biological and artificial systems
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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