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GPU infrastructure. This Postdoc position is part of the eSSENCE graduate school in data-intensive science. The school addresses the challenge of data-intensive science both from the foundational
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take the applicant’s career stage into account, and extensive teaching experience is not expected. Application The application must contain: A curriculum vitae (CV), A copy of relevant grade documents
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methods are developed in parallel, the postdoc will develop systems and services that make biological data accessible to AI and computational tools, collaborating closely with the Human Protein Atlas (HPA
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of these languages. Brief account of why you want to conduct research, your academic interests and how they relate to your previous studies and future goals. Maximally two pages long. Your complete application must be