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to participate in experimental campaigns; a secondment of around 3 months in Chile is planned Basic to good programming skills for data analysis and image processing (e.g., MATLAB, Python) Good written
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in economics, or related disciplines strong analytical and methodological skills with a focus on quantitative data analysis (e.g., econometrics, statistics, machine learning) a high motivation and the
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methodological skills with a focus on quantitative data analysis (e.g., econometrics, statistics, machine learning) a high motivation and the ability to work independently with a strong team orientation excellent
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mechanisms using computer simulations and the methods of non-equilibrium statistical physics. The Research The PhD student will work under the supervision of Dr. Philip Bittihn within the European Doctoral
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experience with or interest in agent-based modeling and simulation (e.g., MATSim or similar frameworks) basic knowledge of discrete choice modeling and empirical transport data analysis is desirable
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on high-performance computing and quantum computing platforms Analysis and validation of results using classical reference models and simulation data Documentation of research results and contribution
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of behaviour. The applicant should have excellent programming skills, experience with behavioural data analysis, and an emerging publication record. The candidate should have a solid knowledge of the decision
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related fields demonstrated expertise in one or more of the defined focus areas strong analytical and problem-solving skills, with experience in experimental design, data analysis, or computational modeling
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processes that produce energy and raw materials. The Department of Reactive Transport is looking for a PhD Student (f/m/d) Experimental analysis of the sorption kinetics for radionuclides on sheet silicates
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-body contributions. Tasks: Independent scientific collaboration on the above-mentioned project Data analysis and interpretation, numerical modeling, and preparation of scientific publications