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player and great collaborator Strong interest in interdisciplinary work at the interface between neurodegeneration, modeling, screening and machine learning Prior experience in iPSC modelling and CRISPR
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-cell transcriptomics, or spatial tissue profiling data, and are keen to develop new methods, for example using machine learning. You have a proven track record of independent research funding and high
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dependent educational benefits Life insurance coverage Employee discounts programs For detailed information on benefits and eligibility, please visit: http://uhr.rutgers.edu/benefits/benefits-overview
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6 Apr 2026 Job Information Organisation/Company Universidade do Porto – HR Research Field Engineering » Mechanical engineering Researcher Profile Other Profession Positions Postdoc Positions
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, postdocs, students, and collaborators. Support postdoctoral lifecycle activities, including onboarding coordination and administrative updates. Assist with planning and executing the division's weekly
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Postdoctoral position in the development of an AI-based phenotyping system for high-throughput sc...
close collaboration with a specific group (DARSA) specialized in developing and applying remote-sensing tools and innovative open-source machine-learning methods. Key responsibilities Develop effective
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scientists on campus and around 300 quantum researchers in Vienna. The Dakić group is an international team of scientists (Master's, PhDs, and Postdocs). Our expertise encompasses quantum foundations, quantum
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extensive knowledge on zooplankton imaging techniques ability to program and train machine learning models for automated image classification experience with shipborne campaigns and ready to join multi-week
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, The Norwegian Centre for Knowledge-driven Machine Learning (ML) , a centre of excellence funded by RCN and in operation until 2033. The research group on statistical models for high-dimensional and functional
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 2 months ago
management and planning skills; strong problem-solving and organizational skills; strong computer experience with Microsoft Office suite; and experience with or willingness to learn new laboratory management