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Field
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physics Comprehensive background in experimental low temperature physics Characterization of materials with respect to transport, thermodynamic and magnetic properties Analysis of experimental results
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transnational terrorist actors and networks as well as command of the current debates in the research field; An international profile attained through experience in collaborative research, field research
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Boltzmann Methods. Candidates should have an interest in applied mathematics, programming experience, and a passion for a practice-oriented project involving real data and applications. Specific tasks within
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understanding and knowledge of climate dynamics. The candidate should have experience of statistical (multivariate) concepts and should be open to apply new and upcoming AI methods to analyze the climate
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independent work but demands a comprehensive understanding and knowledge of climate dynamics. The candidate should have experience of statistical (multivariate) concepts and should be open to apply new and
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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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in chemistry, physics, materials science, chemical engineering or a related subject Desirable: • Experience in one (or more) of the following areas is beneficial: metal-organic frameworks; adsorption
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to climate neutrality of the power, industry and building sector. This involves empirical, theoretical and numerical methods. For the position, experience with questions relating to electricity market design
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) • Experience working in a wet lab environment. • Fluency in oral and written English • Interest in working in a multidisciplinary and international team • Experience with experimental techniques including
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theory and practice; research experiences in living labs will be an advantage Knowledge of systemic agroecology and agroecological transformation processes Experience in qualitative research methods