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, manuscript preparation, meeting with collaborators, etc. In particular, the Research Scientist hired for this position is expected to develop AI algorithms for the directed evolution of proteins with a
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algorithms for microscopy image analysis problems (primarily 2D timelapse data), which are driven by real applications in life science research Develop solutions to integrate large foundation models
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National Aeronautics and Space Administration (NASA) | Hampton, Virginia | United States | 2 months ago
questions in Earth System science is also a goal of this opportunity. Efforts are expected to be conducted in collaboration with the SAGE algorithm/data processing and validation teams, as
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applicant will work with the ReXIl team, AIML, and 4DMedical to turn data into clinical impact. They will be responsible for developing algorithms for image analysis, creating predictive models for disease
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positions in theoretical computer science, algorithms, and complexity. Founded in 2022, INSAIT’s mission is to establish itself as a world-class research institution and has attracted outstanding faculty
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algorithms, computational complexity theory, and information theory Relevant coursework and experience in spiking neural networks, and statistics A strong electronics background, including experience in
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at: https://www.umu.se/en/department-of-computing-science/ Project description and working tasks The project will develop privacy-aware machine learning (ML) models. We are interested in data driven models
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increasingly shapes biomedical research and healthcare decision-making, we also value candidates who can help students critically understand how algorithmic systems affect equity, access, bias, and real-world
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to sign the contract. More information is available on: https://www.dges.gov.pt/pt/pagina/reconhecimento . Workplan and the objectives to achieve: This work aims to develop a numerical approach based on
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HAPP: harmonised appraisal tool for grading and individualised feedback that is integrated into the learning management system (LMS) http://happ.rsm.nl/ Opens external Thesis coach finder: application