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. We are taking part to a Marie Skłodowska-Curie Doctoral Network project “Advancing Energy Conversion Technologies: High-Frequency Magnetics in Modern Power Electronics” (MAGNIFY). The project is a
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error correction (advantage) Background in software development (advantage) Optimization techniques and machine learning (advantage) Ability to conduct independent research Excellent written and oral
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science, phase change phenomena, or micro/nanoscale heat transfer Good data analysis and programming skills (e.g., Python, MATLAB, or similar) Strong motivation, good communication skills, and the ability
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of the doctoral researcher is to study emergent electronic phenomena in two-dimensional materials by gate-tunable scanning tunneling microscopy (STM). Typical examples of these materials include van der Waals
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research proposal, as well as the ability and motivation, as demonstrated in previous degree studies and otherwise, to pursue postgraduate studies and a doctoral degree according to the study plan and
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-, energy- engineering or related fields. Fluent written and verbal communication skills in English are required, as well as ability to work independently as part of a group in an international environment
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methods Excellent communication skills and the ability to work both independently and collaboratively in an international team The appointee should either already have the right to pursue a doctoral degree
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, transcriptomics, proteomics, or related methods Excellent communication skills and the ability to work both independently and collaboratively in an international team The appointee should either already have the
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microscopy, structural biology, cryo-electron microscopy. Interest in learning quantitative image analysis methods and/or structural biology methods. Team-oriented and proactive mindset. Excellent oral and
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analysis toolbox (e.g. ImageJ-FIJI, or other deep learning-based image analysis toolkits) is a strong plus Basic bio-informatics knowledge (office suite, statistical analysis) Soft skills Ability