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: Experience with analyzing GPS tracks Good data-handling skills and ability to use R (compulsary) and preferably also Python and/or GIS competently Statistical/causal inference knowledge PhD degree in a related
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, and scalability Collaborating closely with psychologists, physiologists, and other heat domain experts to ensure that models align with theoretical constructs and applications Leading and co-authoring
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scientific expertise, with publications in peer-reviewed journals or platforms Very good command of English (written and oral) Basic knowledge of French, or willingness to learn some basic French Willingness
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scientific publications in international peer-reviewed journals Experience in conducting empirical studies and knowledge of statistical data analysis (e.g., SPSS, R, Jamovi) Very good knowledge of Good
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neutral-atom quantum technologies and many-body quantum physics Ability to work both independently and collaboratively Good communication skills in English (German is a plus) We offer A highly creative and
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Good communication (in English) and teamwork skills We are also looking for all or a subset of the following additional qualifications: A solid background in chemistry and spectrometric analyses
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the position is a good fit for you 3. A research statement describing past and current work 4. PDFs of your research papers and dissertation 5. Transcripts documenting course grades from all university degrees
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Strong background in quantitative modeling and simulation, preferably with experience in energy system optimization (e.g., OSeMOSYS, TIMES, MESSAGE, or similar frameworks) Good understanding of sufficiency
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are a good fit for the role and how you might contribute to the development of the project, along with a summary of your relevant work experience and skill sets. Application review will begin on
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have previously worked on the modern history of East Central Europe. You must be fluent in English, our team's working language, and have good working knowledge of Czech, the main administrative language