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01.05.2025, Professuren The Technical University of Munich (TUM) invites applications for the position of Tenure Track Assistant Professor in » Test and Qualification of Aerospace Technologies
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(W1 without tenure track) of Pharmaceutical Technology The position is due to commence as soon as possible. The position is initially limited to four years, with the possibility of extension by a
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12.05.2025 Application deadline: 01.07.2025 The Faculty of Humanities at the University of Tübingen invites applications for the position of an assistant (junior) (W 1, non-tenure track) professor
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Institute for Molecular Imaging. The primary objective of the group’s research is to examine the function of immune cells in response to inflammatory processes in living organisms by employing innovative
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risk development. These projections will enable the identification of sustainable adaptation strategies and support policy development. Objectives Develop an Agent Based Model (ABM) that describes flood
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | 2 months ago
the structure from such data is challenging, and new theoretical methods and algorithms are required. The research project aims at deriving priors for Bayesian methods from atomistic simulations and machine
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individual rates of ageing. Role You will extend BrainAGE from global estimates to regional normative models using Bayesian regression and GAMLSS to derive age- and region-specific reference distributions
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variants on human traits and single-cell readouts. Our research group is pioneering computational methods for deciphering molecular variation across individuals, space, and time. We have a track record in
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, as part of the development, one position located in Görlitz as Research Associate / PhD student (f/m/x) Integration of CMOS detector technology into the Universal Bayesian Imaging Kit (UBIK) (subject
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challenging, and new theoretical methods and algorithms are required. The research project aims at deriving priors for Bayesian methods from atomistic simulations and machine learning. It also offers