51 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" PhD positions at Forschungszentrum Jülich in Germany
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problems Proficiency in data analysis and programming using at least one statistical program such as R, Python, or similar programming languages Experience with GAMS, GTAP, and Exiobase is an asset. Skills
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collective agreement can be found on the BMI website (pay scale table on page 69 and following of the PDF download): https://go.fzj.de/bmi.tvoed In addition to exciting tasks and a collegial working
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development is important to us – we support you specifically and individually e.g., through training and networking opportunities specifically for doctoral candidates (JuDocS): https://go.fzj.de/JuDocs FAIR
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twin of sperm motility, and utilize it to develop a separation method. Your tasks will include: Performing computer simulations and matching them to experimental data Very close collaboration with
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engineering, process engineering, chemistry or a comparable discipline Knowledge of hydrogen and energy research is an advantage High motivation to complete the doctorate within three years Very good
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Germany Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research
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Your Job: The electrocatalytic interface engineering department, led by Prof. Dr.-Ing. Simon Thiele focuses on the manufacturing, analysis, and simulation of functional materials to find an optimal
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techniques Writing and submitting computational proposals to obtain the computational resources required to accomplish the project Engage in the international simulation community Publishing the results
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Your Job: The electrocatalytic interface engineering department led by Prof. Dr.-Ing. Simon Thiele focuses on synthesis, manufacturing, analysis and simulation of functional materials to find
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. INDUSTRY COLLABORATION: Benefit from direct integration into a science-industry collaboration with practical relevance HIGH-PERFORMANCE COMPUTING: Leverage cutting-edge computational resources, including