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Field
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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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practices. GenAI is no longer confined to automating routine tasks but increasingly produces outputs (e.g., texts, images, code) that were once the exclusive domain of human expertise. Despite growing
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study: Search for the ‘Course Title’ using the programme code: 8856F Leave the 'Research Area' field blank Select ‘PhD in Process Industries; Net Zero (PINZ)' as the programme of study You will then need
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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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. Salary and conditions In the position of PhD Candidate, code 1017, your gross salary will normally be NOK 550 800,-per annum depending on qualifications and seniority. A 2% statutory contribution to
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, which is one of Norway's best pension schemes with beneficial mortgages and good insurance schemes. Salary in position as Researcher, position code 1109 in salary range NOK from 660 000 – to 780 000
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for exercise during work hours PhD stipend position is paid according to position code 1017. Salary progression occurs according to seniority. 2% contribution to the Norwegian Public Service Pension Fund will be
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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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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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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