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statement when you apply. Criteria Essential or desirable Stage(s) assessed at Hold or be close to completing a PhD in neural engineering, neuroscience, biomedical engineering, computational modelling or a
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the project: Develop, train, and optimise deep learning models for wildlife species identification, classification, and segmentation using real-world datasets. Design and implement software modules to integrate
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 2 months ago
the submission of the following documents: i) B1 Form – Fellowship application (https://ist-id.pt/recursos-humanos/bolseiros/#documentos-relacionados ); ii) Curriculum Vitae; iii) academic degree certificate; iv
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establishing yourself in the field. Candidate Profile: A PhD in Power Electronics is desirable or a minimum Masters level qualification with some industry experience (both in power electronics). Skills
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software development, including architecture of multi-user projects. About the Department School of Physics and Astronomy: https://cse.umn.edu/physics Pay and Benefits Pay Range: $80,000 to $88,000
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collaboration with experimental scientists. Our group develops and maintains open-source software for data analysis, including HiCognition (https://www.hicognition.com) for interactive exploration of genomics
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instrumentation and computational resources. Required Qualifications: A PhD in microbiology, microbial ecology, molecular biology, biochemistry, chemical biology or any relevant fields with a dissertation that
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. The PhD (M/F), to be recruited in the context of the ERC StG MULTI-viewCELL, will be working on the development of a new method combining machine learning and biophysical modelling to model embryo
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of the students involved in these experiments Where to apply Website https://talent.irta.cat/en/jobs/7268015-phd-candidate-for-the-animal-welfare-pr… Requirements Research FieldMedical sciences » Veterinary
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ABIF can be found at: http://www.mcgill.ca/abif. Primary Responsibilities 1. Technical Development & Innovation Lead and document quality control (QC) workflows for ABIF imaging systems, including