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260 PhDs, including industry PhDs and postdocs. Fellows will be recruited to the 11 participating host universities/organizations but brought together under a national DDLS program coordinated by
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from the European Research Council and a DDLS Fellowship from the SciLifeLab and Wallenberg Swedish program for data-driven life science. The successful candidate will be working within the development
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• Computational Science or Data Science • Compute-intensive Statistics or Applied Mathematics Proficiency in a relevant programming language, e.g., Matlab, Python, R, C/C++ is expected and practical or research
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requirement must be met no later than the time the employment decision is made. Applicants should have experience of working with large databases. Good knowledge of one of the common statistical programs
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these datasets to detect chromosomal abnormalities and study their breakpoints. Using statistical methods and machine learning, we will explore how these structural variants arise and which recurring structures
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the time the employment decision is made. Applicants should have experience of working with large databases. Good knowledge of one of the common statistical programs, such as STATA or R, is a prerequisite
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experience in experimental research on learning or decision-making with knowledge of computational models (e.g., reinforcement learning). Good statistical skills and programming experience (e.g. R, Python
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Applicants should have a PhD in medical science such as epidemiology, biostatistics, computer science, statistics, etc. We will also consider those with PhDs in other areas but who have advanced/relevant data
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Sweden Application Deadline 31 Mar 2025 - 21:59 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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2025 - 22:59 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within