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“3Ds of 3D: Design, Data quality and Data driven decisions - Advancing statistical methods for human 3D movement analyses of clinical populations”, which aims to develop, evaluate, and implement
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Department of Statistics is offering 1-2 postdoctoral scholarships
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computational methods for analysing spatial omics data work with interdisciplinary collaborators to apply methods to real biological data and interpret results contribute to the supervision and mentoring of PhD
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2027 - 12:44 (UTC) Country Luxembourg 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
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Deadline 14 Jul 2026 - 08:42 (UTC) Country Ireland 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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Deadline 10 Jul 2026 - 04:21 (UTC) Country Ireland 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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will gain: Strong expertise in statistical and computational methods for privacy Experience working with unique, real-world health data Collaboration with an interdisciplinary research team across data
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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | 2 months ago
(group leader), and a number of postdoctoral researchers, students, and visitors. The research The postdoctoral researchers will engage in theoretical and computational research in Nonequilibrium
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assurance. You take on administrative tasks in research, teaching and administration. This is part of your personality: Completed doctoral/PhD studies in subject Business or Operations Research