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Master's degree in Energy Policy, Energy Economics, Information Systems, Mathematics, Operations Research or a related field Strong knowledge of quantitative and/or computational research methods, ideally in
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social challenges of Advanced Air Mobility (AAM), considering ecological, economic, technological, and sociological factors. The RTG's structured PhD program aims to train young researchers in highly
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to identify requirements and validate solutions Your profile Education: MSc degree or equivalent in Computer Science or Engineering Experience: The ideal candidate should have some knowledge and/or experience
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external experimentalist. You should have expertise in at least one of the following areas (i) Non-adiabatic chemical dynamics, (ii) Physics of charge transport in the solid state, (iii) QM/MM methods, (iv
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and very good knowledge in quantitative and qualitative research methods Good knowledge of statistical software (e.g. SPSS or STATA or R or JASP) Strong commitment and the ability to work in a team
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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collaborative investigation including teams with expertise in cell biology, molecular biology, biomedical engineering, clinical medicine and computational biology. The team aim to create a novel, targeted
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will work on projects where research meets real-world challenges. This includes developing soil moisture maps to reduce damage from forest machinery, testing innovative methods to control pests in
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of programming languages. The ideal candidate has an MSc in Computer Science or Mathematics and experience in one or more of the following areas: Theory of programming languages. Logical methods in
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of aging and lifespan development Interest in studies of ambulatory assessment Good knowledge of and interest in quantitative methods (e.g., multivariate analyses, longitudinal analyses, multilevel analyses