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Field
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, society and industry. With its ultramodern research infrastructure, its interdisciplinary research platforms and its international networks, DESY offers a highly attractive working environment in the fields
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Researcher / Postdoc for molecular investigations on microbial ecology in deep-sea polymetallic n...
colonization experiments will be investigated to fully assess environmental impacts and evaluate potential renaturation measures.The work will involve joint analyses within AWI and the larger network of project
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BSc students Presentation of research results at conferences and publication in peer-reviewed journals Representation of JCNS-3 in project meetings and on international conferences to foster our network
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mentoring junior researchers and promoting a collaborative working culture Project preparation: Development of concepts and preliminary studies for research proposals Scientific networking: Establishing
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research campus (public transport bus) and best networking opportunities individual opportunities for further training social benefits according to the collective agreement of the public service and
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(written and spoken) Class B driving license valid for Germany We offer access to an international network of scientists, policymakers and research organizations an attractive job within the inspired and
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genomic approaches Application of the modeling approaches in relevant downstream tasks Co-development of high-performance computing AI training codes for the first European Exascale Supercomputer JUPITER
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into the process control of the CO2 electrolysis enables autonomous operation of the system, which can differentiate between market-, system- or network-based operating modes depending on requirements. Your tasks in
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quantitative training or research experience Training and experience in quasi-experimental methods is a plus Strong coding skills in R, Stata, or other statistical software package Good communication skills in
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. Prerequisites Doctoral degree with quantitative training or research experience Training and experience in quasi-experimental methods is a plus Strong coding skills in R, Stata, or other statistical software