22 post-doc-image-engineering-computer-vision Postdoctoral positions at Nature Careers in Belgium
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for its expertise in correlative imaging and materials science. To advance our microplastics research, we are looking for a highly motivated Postdoctoral Researcher with strong expertise in fluorescence
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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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-scale screens to study fundamental principles in molecular and complex trait genetics using microbes as model systems. Our core technology MAGESTIC (https://doi.org/10.1038/nbt.4137 ), a CRISPR/Cas9-based
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The team you will be working with: Maxime Cordy Mike Papadakis Your profile A PhD in Computer Science, Software Engineering, Programming Languages or related disciplines. Documented research expertise in
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the private and public sectors. The group consists of doctoral and post-doctoral researchers from diverse backgrounds, including business, technology, law, and psychology. They are united in pursuit
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at a post-doctoral level Good IT skills Proven ability to work individually as well as part of a team Have the linguistic skills to evolve in a multilingual environment: fluency in English is required
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currently exploring a range of exciting topics at the intersection between computational neuroscience and probabilistic machine learning, in particular, to derive mechanistic insights from neural data. We
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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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of research funding Your profile... The candidate should possess a PhD degree in Computer Science, Software Engineering or a related field The ideal candidate should have some knowledge and experience in
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-of-the-art in SLAM, situational awareness, computer vision, machine learning, robotics, and related fields Developing and implementing innovative solutions, validated through real datasets and experiments