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, code 1017, your gross salary will normally be NOK 550 800,- per annum, depending on qualifications and seniority. A 2% statutory contribution to the State Pension Fund is deducted from the salary
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equivalent)) Knowledge of simulation platforms like MATLAB Simulink/PLECS. Coding and hardware skills are desirable. Strong analytical/mathematical skills. Passion for research and willingness to learn. Good
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or coding is advantageous but not essential; full training will be provided. Funding support After a suitable candidate is found, funding is then sought from the University of Nottingham as part of a
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contribute constructively with feedback Analyze data, assess different perspectives and draw well-founded conclusions Think, write, and code creatively and outside the box. Emphasis will be placed on personal
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: MSc in Physics, Materials Science, Nanoscience, Computer Engineering, Data Science, Gaming Engineering or a related discipline. · Knowledge: Strong coding skills in Python and knowledge in materials
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inclusive working environment with committed colleagues Attractive welfare benefits in the State Pension Plan Opportunity for physical activities within working hours Salary PhD Research Fellow (code 1017
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. What You Will Work With You will have access to one of the richest exposomic datasets in Belgium, including: Nationwide hospital admission data (ICD-coded CVD, NVD, NCDs); High-resolution environmental
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delay of transition to turbulence. The methodology of the research is theoretical and numerical, i.e. an existing in-house code will have to be modified. This project offers the unique opportunity
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properties of high-entropy alloy (HEA) nanoparticles. The SIESTA code will be used to compute key descriptors such as formation energies, mixing enthalpies, adsorption energies, d-band centers, and work
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Max Planck Institute for Intelligent Systems, Tübingen, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | about 1 month ago
Job Code: Tü_107 Job Offer from March 06, 2026 The Max Planck Institute for Intelligent Systems (MPI-IS) conducts research to advance intelligent systems that perceive, learn, and interact. Through