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(Job offers - INM ) For more information on the institute, please see: https://www.leibniz-inm.de/en/ The INM practices an open and appreciative corporate culture in which the existing diversity is
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advanced data-driven methods and have the autonomy to set your own scientific emphasis. As team member of the ERC Starting Grant “MesoClou”, you will work with PhD students and a fellow postdoc and be
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of a project with limited experimental data points? In addition, how would you combine various computational chemistry methods that can leverage data to enhance potency predictions? With your solution
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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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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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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
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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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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