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experience with EB-PBF systems is considered an asset) Python programming Statistical learning / machine learning / machine vision / Artificial Intelligence methods Image and signal processing (familiarity
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Anesthesiology Programs(see website: http://www.barry.edu/about/mission/ Teach anesthesia principles and basic sciences in didactic, simulation, and clinical settings and advise students in the doctoral nurse
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Learning as represented within HDSI's research scope, including but not limited to: 1) Computer Vision 2) AI for Science 3) Emerging Technologies for AI (such as Quantum Computing) All candidates
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that support the unit for area protection and marine spatial planning, as well as operations at SLU Aqua. Your profile You have documented expertise in marine ecology and computer vision and machine learning
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Appointment Staff - 12 month Position Pension Eligibility ABP Qualifications Minimum Education and Experience PhD in neuroscience, biology, or a related field required. Candidates in ABD (all but degree) status
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Position as Computational Analyst / Bioinformatician in RNA Therapeutics and Cardiometabolic Disease
of (micro)RNA biology, 3D human model systems, nanomedicine, and computational (ML) disease modelling. You will be able to contribute to our vision to translate basic findings into medicinal RNA approaches
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. This position seeks an experienced and recognized energy expert who can strategize and grow demand forecasting research at NLR. This is a recent example of one of the tools NLR has developed: https://tinyurl.com
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administrators Required Qualifications PhD in Engineering, Physics, Ecology and Forestry, Earth Science, Computational Science, or related fields with post-doctoral research experience (or equivalent) Research
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Qualifications/knowledge : PhD in computer science, with a specialisation in computer vision, digital geometry processing and/or machine learning. No specific knowledge about plants is required. Operational skills
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of faculty supervisor, develop novel techniques incorporating machine learning in particle physics event generators. Contribute to the development of machine learning driven techniques in the Pythia 8 event