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these. Are we talking about the same things, in the same place at the same time and how can we reach consensus? You will develop experiments in which world views are created from observations and communications
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Max Planck Institute of Animal Behavior, Radolfzell / Konstanz | Konstanz, Baden W rttemberg | Germany | 12 days ago
communication skills in English Desirable Creativity and breadth with experimental approaches Prior experience with imaging-based behavioral analysis, sequencing-based genetic analysis, and with invertebrate
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research study. Skills & Experience: A PhD in a related discipline, such as experimental thermal hydraulics, computational fluid dynamics, mechanical engineering or nuclear engineering. Experience in
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LevelPhD or equivalent Research FieldAgricultural sciencesEducation LevelPhD or equivalent Research FieldEngineeringEducation LevelPhD or equivalent Skills/Qualifications PhD Specific Requirements Experience
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experimental scientists. You communicate clearly and effectively in English, as you will work in an international research environment. Ideally, you also have: Experience with cryo-EM or cryo-ET data analysis
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associate position to conduct research in machine learning (ML) for applications in High-Energy Physics (HEP). We seek highly qualified candidates with interest and experience in ML algorithms including
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experimental data, building agentic pipelines that autonomously analyze omics data, developing systems that mine the scientific literature to ground hypotheses in established knowledge. The position offers a
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, physiologists, bioengineers, and molecular biologists in a dynamic research environment, including collaborating with other groups within the institution and at other academic facilities. Experience with basic
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analyze experiments or studies. Collect, manage, and interpret datasets. Contribute to protocols, manuals, and regulatory documents. Collaborate with the PI, faculty, and research teams on project direction
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to engage with relevant WMO PCAPS task teams and working groups, gaining experience in international scientific collaboration and contributing to community- and user-driven advances in Arctic prediction