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.) is a plus. Candidates from non-neuroscience fields but with a keen interest in understanding the brain (e.g., physics, artificial intelligence, engineering, humanities, and medical training) are also
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biological domains is a must PhD in computational biology, computer engineering, computer science, (bio)statistics, artificial intelligence, physics, or related. Desire to push the frontier
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relevance using human clinical samples. A dedicated focus on a specific cancer indication (i.e. brain tumors, pancreatic cancer, ….) and/or underlying biological process (metastatic dissemination, lymph node
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directly test the clinical relevance of the findings using human clinical samples. A dedicated focus on a specific cancer indication and/or underlying biological process (metastatic dissemination, lymph node
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or equivalent experience in machine learning or a related quantitative field (Computer Science, Artificial Intelligence, Statistics, Mathematics, Physics, Computational Biology/Chemistry). Candidates will be
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Group Leader and Professor AI in Biology - Dept of Computer Science and Dept. Electrical Engineering
or equivalent experience in machine learning or a related quantitative field (Computer Science, Artificial Intelligence, Statistics, Mathematics, Physics, Computational Biology/Chemistry). Candidates will be
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support process. Documentation & continuous improvement Document solutions, workarounds, and common issues in the knowledge base. Signal recurring problems or improvement opportunities to the team
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central supporting role to founders, investors, mentors, and partners, while helping run our selection process, basecamp programme, ecosystem activities, and day-to-day operations. What you’ll do: Basecamp
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central supporting role to founders, investors, mentors, and partners, while helping run our selection process, basecamp programme, ecosystem activities, and day-to-day operations. What you’ll do: Basecamp
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Computational Biology, Bioinformatics, Computer Science, AI/Machine Learning, Physics, Mathematics, Bioengineering, Structural Biology, Biophysics, or a related field Strong quantitative, analytical