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fusion energy research Work in an excellently equipped research centre with cutting-edge laboratories and on-site computer clusters No teaching requirement, you can spend your working time for research
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for data-efficient exploration and optimization within the process parameter space as well as for adaptive, data-driven machine learning to map the electrolysis process to a digital twin. Data workflows and
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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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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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motivated PhD students, interns, and PostDocs at the intersection of computer vision and machine learning. The positions are fully-funded with payments and benefits according to German public service
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Max Planck Institute for the Structure and Dynamics of Matter, Hamburg | Hamburg, Hamburg | Germany | about 2 months ago
) One or two letter of recommendations or references The screening of applications and interviews will start from August 31st 2025 and will continue until the positions are filled. For further information
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interactions Integrate omics approaches with microphysiological modeling Interpret data, write manuscripts, and present findings at conferences and seminars Collaborate across disciplines with engineers
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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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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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at Heidelberg University and Stanford University. The group works on a wide variety of research, with foci being medication effectiveness, health services research, and population health issues. One key data