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Field
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group currently consisting of the PI, 8 postdocs, 4 PhD students, a research technician, and a variable number of students. The project is part of the center of Excellence for Proteins in Memory (PROMEMO
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learning to derive principled models of cortical computation. Our newly refurbished primate facility, state‑of‑the‑art Neuropixels rigs, and high‑performance computing cluster offer an unmatched playground
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medical professionals to translate research into real-world applications. Mentor graduate students, teach related courses, and contribute to grant writing. Requirements A PhD or equivalent in a technical
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the most suitable data science techniques (e.g., machine learning, cluster analysis) to answer specific research questions based on available data. Running simulation studies and other pre-intervention
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driven individual with a PhD in data science, computer science, biomedical informatics, or a similar background with some experience working with large datasets. Prior experience with healthcare is not
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. They are looking for dedicated researchers with strong analytical skills in genetics and WGS/WES analyses to lead these projects. You will be part of a robust team of over 30 members, including postdocs, PhD
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inform public health, in particular, in low-income settings. Qualifications: PhD of equivalent in a relevant field including, but not limited to: evolutionary biology, epidemiology, biology, computational
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is part of the Maersk Mc-Kinney Moller Institute , University of Southern Denmark (SDU), and located at the main Campus in Odense, at the core of the Odense Robotics Cluster involving 120+ startups
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the team. The successful candidate will have access to the Apache Point Observatory 3.5m telescope and OU’s supercomputer, Schooner. The team also has a 256 core cluster for work within the group. There is
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. Applicants should demonstrate expertise in programming languages such as Python and/or R, as well as experience working with high-performance computing clusters. The successful candidate will be a team player