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Field
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background in Statistical Mechanics and to mostly focus on analytical work and the development of novel quantitative methods for active matter, and to a lesser extent, on computer simulations of active fluids
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functionalities (GUI and web-service) Participate in field work organization, sampling plan establishment and in-situ data acquisition Your Profile PhD in environmental sciences or computer science, with a proven
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functions of soil food webs in forests dominated by different mycorrhiza types (ecto- and arbuscular myсorrhiza). The position is linked to the Emmy Noether project “Soil food web control of the carbon cycle
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opportunity to establish a cutting-edge research program with significant impacts in this field. We are particularly interested in candidates who can develop an innovative research agenda in areas such as
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several students from abroad in our master’s program each year. It is important to us to provide a family-friendly environment at ESAGA. The university has several offers regarding child care for children
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childcare facilities and sports activities • Opportunities for internal and external training and development • Additional benefits in accordance with the collective agreement of the federal states (TV-L
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for internal and external training and development • Additional benefits in accordance with the collective agreement of the federal states (TV-L), such as annual bonuses and capital-forming benefits as
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journals and edited volumes, and present your work at international conferences. Collaborate with our digital humanities team to engage actively in the development and data curation for the "OMnibus of
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | 2 days ago
Assistant position, with the successful candidate embarking on a PhD programme at LSHTM. It is anticipated that the role will lead to a further 18 month funded opportunity at Max Planck Institute
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, production and evolution in the Quark Gluon Plasma produced in heavy ion collisions. The project includes interdisciplinary applications to other fields featuring strongly correlated systems (in BSM or in