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Field
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or spectroscopy or spectral/image data processing and analysis. Candidates with additional experience in the application of optics to biology or agriculture are preferred. Ability to collaborate, work in teams and
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. In particular, he/she will be expected to :• Select and evaluate the most suitable approaches from the wide range of machine learning and computer vision methods available in the literature, with
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Intelligence Learning department of the Computing and Data Sciences (CDS) directorate at Brookhaven National Laboratory (BNL) invites exceptional candidates to apply for a post-doctoral research associate
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outputs, including: A return-of-data blueprint Prototype participant reports An evaluated framework for future implementation Your Profile Master's degree and PhD in computational biology, bioinformatics
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, genetics, and neurodevelopment, along with access to state-of-the-art imaging technology and advanced computational resources. The fellow will have structured opportunities for professional development
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benjamin.devauchelle@pasteur.fr in Cc. The candidate should have a PhD in Human Genetics and the following skills: Strong interest in the field of genetics, neurobiology and psychiatry. Computer skills: strong level in
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of formulating them, incorporating their own ideas and experience in computer vision, machine learning, and related fields, to further visualization and interpretation of molecular images. Our research environment
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Research Framework Programme? Horizon 2020 Is the Job related to staff position within a Research Infrastructure? No Offer Description The candidate will aim to study the morphogenetic processes occurring
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ExperienceNone Additional Information Eligibility criteria - Physics (fluid dynamics). - Image processing (high-speed cameras). - Nulerical modelljng / Computational fluid dynamics (CFD). - Teamwork. - Writing
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technology. The assessment is based on information provided by the candidates themselves, such as their motivation letter and CV, and takes place at the final stages of the selection process. When the outcome