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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | 7 days ago
, turbulence, atmospheric flows, meteorology. Knowledge of programming languages such as Python, MATLAB or C++. Ability and desire to work in a diverse and international team. Good command of English. German
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to your scientific expertise to work within the German Research Foundation (DFG) funded project “Multi-channel transcranial current stimulation (mc-tCS): a novel approach to modulate smooth pursuit eye
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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | 4 days ago
and intricate flows play a role across these scales, making field studies essential for capturing their full complexity. To address this, we developed the Max Planck Cloud-Kite (MPCK), an airborne
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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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decarbonization, hedging, energy policy and financing issues as well as willingness to familiarize yourself with new topics Excellent command of the English language Initiative and interest in teamwork and openness
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Researcher / Postdoc for molecular investigations on microbial ecology in deep-sea polymetallic n...
’) are compared to ‘post-impact’ investigations, covering a period from days to years after simulated manganese nodule mining. The focus of the position advertised here in the third phase of the project will be
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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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of dissolved organic substances, microbiological rate measurements, incubation experiments, controlled laboratory cultures, and field studies in various marine regions. The Research Unit Biological Oceanography
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to generate reproducible, micrometer-scale controllable, and cost-efficient disease models by bringing together experts in molecular systems engineering, machine learning, biomedicine, and disease modeling
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flow within cerebral aneurysms. Arterial geometries are derived from medical scans (e.g., CT) of real patients, which are suitably meshed and processed for numerical treatment using Lattice-Boltzmann