1,506 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "U.S" positions in Germany
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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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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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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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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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collection (e.g. case studies, surveys, experiments) Teach courses at the Technical University of Munich (limited teaching load) The Professorship offers: A stimulating research environment at one of Europe’s
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Structured doctoral training is generally provided by the GGL graduate centre or graduate schools. The objective is for doctoral students to acquire and deepen their knowledge, broaden their scientific
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exclusively in electronic form and in accordance with the “Applicant Guideline Template” and the “Applicant Form” of the Medical Faculty Mannheim for W3 professorships (see https://www.umm.uni-heidelberg.de
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), the sorption of PFAS and heavy metals onto natural nanoparticles will be investigated in situ using a dedicated field exposure method developed by our team, complemented by laboratory experiments and machine
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international project partners, embedded in an ERC-funded project. For deeper insights, please have a look at our institute website: https://www.fz-juelich.de/en/pgi/pgi-7 and the research group in which
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: Your professional development is important to us – we support you specifically and individually e.g., through training and networking opportunities specifically for doctoral candidates (JuDocS): https