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a vacancy for a 30-month postdoctoral researcher in Economics. We are looking for a researcher in industrial organization or energy economics with strong analytical and quantitative skills, and
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to process your personal data (e.g. IP address) for personalised content, ads and third-party media integrations. Functional and strictly analytical cookies are always set. Non-essential and non-analytical
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cutting-edge analytical approaches (Multilevel Vector Autoregressive Models, Dynamic Structural Equation Modelling, Hidden Markov Models, Causal discovery algorithms, Reinforcement Learning), Contributing
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experience in quantitative methods, including automated content analyses and/or handling panel data Advanced analytical skills preferably using in R, Stata, or Python Excellent proficiency in English What do
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and generate high-quality datasets. Strong analytical skills, enabling you to integrate biochemical, structural, and evolutionary data to uncover host-adaptation signatures. Effective communication
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techniques (e.g. cell culture, protein expression, enzymatic or binding assays) to independently run experiments and generate high-quality datasets. Strong analytical skills, enabling you to integrate
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candidate with a PhD in ecology, ecotoxicology, or environmental modeling, and strong analytical and programming skills (e.g., R or Python). Experience with biodiversity metrics, ecosystem service modeling
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perturbations, and climate change (shown by a relevant master research project experience or courses); strong analytical skills; excellent communication skills; fluency in the use of Python or a similar
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batteries, or grid-connected energy storage. Excellent analytical, organizational, and communication skills. Ability to work independently in a multidisciplinary and international environment. Strong
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, ideally using the Laser Powder Bed Fusion (L-PBF) technique. Proficiency in thermo-mechanical and microstructural characterization methods, such as DSC, SEM, EBSD, XRD, and other relevant analytical