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Hauser and focuses on understanding the neural and computational mechanisms underlying decision making and learning, as well as their aberrant processes in psychiatric disorders. We are now inviting
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March 31, 2026. Further information is available online at https://www.uni-potsdam.de/en/arbeiten-an-der-up/appointments/appointment-procedures/application According to the Civil Servants Act of the State
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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 the opportunity to work with
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for doctoral programmes: any time Application deadline Consult the website: https://www.sgbm.uni-freiburg.de Tuition fees per semester in EUR Varied Combined Master's degree / PhD programme No Joint degree
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applicant has a strong background in bioinformatics and/or probabilistic machine learning, as well as experience in omics data analysis, and possesses solid English-language skills. Experience with
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): https://go.fzj.de/JuDocs SUCCESSFUL START: It is important to us that you quickly settle into the team and are given structured training for your tasks. We also support you from the very beginning and
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in economics, or related disciplines strong analytical and methodological skills with a focus on quantitative data analysis (e.g., econometrics, statistics, machine learning) a high motivation and the
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equivalent in Health Economics or a related field and speak English. If you want to join us, please apply until March 29, 2026 via our online application platform. https://www.drs.fu-berlin.de/user/register
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well as in collaborative projects with other research centers. A willingness to teach in both the Data Science and Economic and Mathematics degree programs, as well as in teacher training, is desired
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Max Planck Institute for Political and Social Science, Göttingen | Gottingen, Niedersachsen | Germany | about 1 hour ago
; the ability to work independently as well as collaborate in an interdisciplinary team. The following qualifications are desirable: familiarity with causal inference methods, or willingness to acquire it