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Network project called MINDnet. The project consists of 15 PhD students at 7 universities, one research center and two companies. The project has partners from eight different EU countries. All 15 PhD
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Quantitative Interactomics and Disease-Related Networks team, led by Dr. Gergo Gogl
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Your Job: Investigate current challenges and bottlenecks in power flow analysis for large scale electrical distribution grids Apply machine learning/AI or surrogate modeling (e.g., neural networks
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molecules. Experience in compound data analysis. Experience in small molecule SAR exploration. Experience in developing protease inhibitors. Experience in cell culture and associated assays including
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for medical imaging analysis (DIVA, now Avatar Medical—a successful spinoff), studying neural connectomes in Drosophila, and work in simulation-based inference for biological systems. You will work directly
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computational modeling or machine learning applied to neural data; Proficiency in programming (e.g., Python, MATLAB, or R); Prior research experience in language, cognition, stroke, or brain network analysis is
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they are implemented by research assistants. Support the PI in data analysis and report generation. Convene meetings with internal and external project team members. Work Interactions The Research Specialist 3 will be
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California State University, San Bernardino | San Bernardino, California | United States | 1 day ago
diverse faculty, we offer a variety of networking, mentoring and development programs for our junior faculty. We are committed to building and sustaining a CSUSB community that is supportive and inclusive
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the genomic landscape of breast cancer using large scale tumor sequencing data. You can read more about the project on our website https://portal.research.lu.se/sv/persons/staaf-johan/. The research team is
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– Newark. We connect skilled and talented people with employment opportunities to achieve professional success, provide multi-disciplinary experience, increase network opportunities, and fulfill career