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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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. 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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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | 2 days ago
. Qualifications/Requirements of Position Required qualifications: PhD in health or social sciences by the appointment start Minimum of 3 years of relevant work experience in an academic research environment with
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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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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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at national and international conferences Provide service to the College, the University, and professional organizations Report to the Associate Dean for Research and PhD Education Minimum Requirements
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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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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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major advantage. You should have a university degree at PhD level in the field of economics or similar with above-average success. Our team offers flexible working hours and intensive cooperation in a
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. Requirements: PhD completed less than 7 years ago in Computer Science or related areas; experience in machine learning and data science (supervised/unsupervised models, recommendation and evaluation/robustness