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mathematics, computational biology or similar. The successful candidate will have excellent skills in theoretical physics, in particular statistical physics, dynamical systems and stochastic processes, together
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Application Deadline 18 Oct 2026 - 23:59 (Europe/Copenhagen) Country Denmark Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
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patterns representing health incidents and the development of privacy-preserving methods for visualizing health data. What you will gain: Strong expertise in statistical and computational methods for privacy
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Very good knowledge of English (written and oral) Good communication skills (scientific community, the public, stakeholders, and managers) Experience in data analysis and statistical tools Preferable
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or Computer Science; Human-computer Interaction, Spatial Cognition or related areas; Engineering, Applied Mathematics, Statistics or another Quantitatively Oriented Discipline. Application procedure Your complete
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who are internationally recognized experts in statistical genetics, epidemiology, and artificial intelligence. Applicants should have: A master’s degree in statistics, biomedical engineering, computer
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international research environment. Preferred qualifications: Experience with human genetics, statistical genetics, or computational genomics. Experience analysing transcriptomic, epigenomic, single-cell, or
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group for Bioinformatics and Statistics. The Department of Clinical Medicine provides research-based teaching across all disciplines of the medical degree programme and conducts research within
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will be considered: Essential experience and skills: A strong academic background in computer science, machine learning, applied statistics or a closely related field. Practical experience with AI
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degree in computer science, mathematics, statistics, physics or relevant fields. Strong background in machine learning, preferably experience in probabilistic modeling, Bayesian machine learning, or graph