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Manufacturing and Materials. https://engineering.uci.edu/ The Department of Materials Science and Engineering (MSE) is one of six academic departments in the Samueli School of Engineering at UCI. MSE is an
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experience software platform that all Counseling students use to enter completed hours and complete supervision assessments (i.e., MCoun Clinical Mental Health Counseling, MCoun School Counseling, and PhD
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. Applicants must have either a PhD in Mathematical Sciences or a minimum of a Master’s Degree in Mathematical Sciences or a related field with at least 18 graduate hours in Mathematics. Candidates should have a
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or equivalent Skills/Qualifications The postdoctoral candidate should have a PhD diploma in material sciences or civil engineering, with an important knowledge in cementitious materials, formulation and
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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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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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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | 1 day 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 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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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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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