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both with perturbative techniques (high order loop calculations) and nonperturbative methods (lattice QCD). For more information on the group research activity see the web page https
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. Information on job advertisements and the collection of personal data is available at www.uni-heidelberg.de/en/job-market .
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research outcomes to project stakeholders and the research community at meetings, conferences and by publishing in high-impact journals This position is within the Quantum Information Processing research
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annual bonus and 30 days' vacation per year subsidy for a company ticket for public transport or the Germany Ticket Further information about the can be found on the Internet at www.igzev.de
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assays, flow cytometry, and gene editing techniques Collaborate closely with biologists, clinicians, and data scientists within a highly interdisciplinary environment Contribute to publications and
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ability to work in an interdisciplinary manner Creativity and a strong spirit of discovery to develop new research approaches Experience in planning and conducting experimental studies Very good data
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learning paradigms as well as interactive data- and model exploration with domain knowledge towards optimal performance in real-world generalization scenarios. AqQua is a large-scale collaborative research
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of machine learning and health sciences, with unique access to experimental and clinical data. Embedded in Munich’s thriving AI landscape, fellows benefit from world-class facilities, interdisciplinary
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the team of Prof. Dr. Loriana Pelizzon on data and methods for supervision of climate and ESG risks in Capital Markets (incl. investment funds, bonds, stocks). The role involves advising and
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range of health, prevention and sports offers Contact & Application For further information please contact Prof. Dr. Ralf Gilsbach via e-mail. Interested? Applications will be accepted until 31.07.2025