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participants, and mathematical / statistical modeling. Requirements for employment are a completed PhD degree in a relevant field (Linguistics, Cognitive Science, Psychology, Philosophy, or similar), near native
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soon hold) a PhD degree in Linguistics or a similar Language Science area are eligible for the role. The ideal candidate for this position has: a solid background in formal linguistics, particularly
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. The aim of our group is to improve the understanding of the trade-offs between production, mitigation and conservation in livestock-based systems, and to identify innovative mechanisms for landscape-level
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Max Planck Institute for Chemical Physics of Solids, Dresden | Dresden, Sachsen | Germany | 2 months ago
Analysis of experimental results Expertise in spectroscopic measurements and/or Scanning Probe Microscopy is of advantage Qualifications and skills University degree and PhD in physics Ability to work in a
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following areas: Mathematical Analysis/ Numerical Analysis/ Theoretical Machine Learning Please note: Applications from candidates with degrees in other disciplines (e.g., Computer Science, Engineering) will
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Your Profile Doctorate (PhD) in Ecology, Soil Ecology, or a closely related discipline Expertise in identifying soil invertebrates Experience with the analysis of food webs or trophic interactions
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the achievement of the project’s goals. Assist in preparing reports for the MANTRAMS project. Your Profile: Completed PhD or equivalent in Anthropology, Sound Studies, Religious Studies, Asian Studies, Indology
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Expertise in spectroscopic measurements and/or scanning probe microscopy is of advantage Qualifications and skills University degree and PhD in physics Ability to work in a team Background in electronic
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part of the ERC project DYONCON. You will work in a multidisciplinary and international environment, in close collaboration with the group and our external partners. Requirements: PhD and Master's degree
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of results in peer-reviewed scientific journals and presentation at conferences Your Profile: Passionate and curiosity-driven candidate with an PhD degree in Physics, Nanoscience, Chemistry, or related fields