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simulators. CUDA. C++. Python. Other requirements to consider: Motivation and organizational skills. Analytical capacity and rigor. Multidisciplinary fit into an international research group. Specific
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Qualifications: Ph.D. in related, experienced in community-based research. Some postdoctoral training. Experience training students. Background Investigation Statement: Prior to hiring, the final candidate(s) must
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for project descriptions for doctoral and postdoctoral fellowships at USN” : Introduction (the title, main problem and research questions and the background to the project) State of the art (the project’s
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with funding. There is also support for applying for postdoctoral research funding. Who we are looking for Applicants should hold, or be close to completing by the start date, a relevant master's degree
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applying for postdoctoral research funding. Who we are looking for Applicants should hold, or be close to completing by the start date, a relevant master's degree or equivalent and demonstrate the potential
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description for the research project should be short and concise, maximum 2–4 pages (600-1200 words). See further descriptions in the “Template for project descriptions for doctoral and postdoctoral fellowships
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 3 months ago
identification; Proficiency in Python and frameworks such as PyTorch, TensorFlow, etc.; Knowledge of HPC, scientific computing, cloud computing, MLOps, or scientific software development; Relevant scientific and
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Knowledge and Professional Experience: Experience in energy harvesting Experience with COMSOL simulations Experience in programming (LabView, Python, C++, Matlab) Personal Competences Teamwork skills Fluent
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Job Description Apply now Req Id: 42630 Job Title: Post Doc Research Associate City: West Lafayette Job Description: Job Summary Postdoctoral position: Machine Learning for Drug Discovery Discover
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, such as model evaluation and data pipelines, and their applied forms, including training, fine-tuning, and deployment of models using frameworks such as PyTorch or TensorFlow. Solid proficiency in Python