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strong Excel skills You are organized, reliable, and proactive You are a good communicator and enjoy teamwork You are comfortable working in English (at least B2 level according to the CEFR: https
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Beginning Winter semester Application deadline All students – online application: 1 March for the following winter semester https://www.lmu.de/psy/de/studium/doctoral-training-program-in-the-learning-sciences
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description You will teach informative illustration and knowledge communication across all specialisations within
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laboratories Based on the complexity of the project, motivation to learn new skills to expand scientific knowledge High degree of analytical working style Excellent communication skills and ability to work in an
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experience with NMR and wet-lab chemistry Willing to work within a multidisciplinary and collaborative research environment Curiosity and excitement to learn Good knowledge of spoken English Our Offer: We work
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for the position even if you do not have all the required skills and knowledge. We may be able to teach you missing skills during your induction. Our Offer: We work on the very latest issues that impact our society
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working time models, including options close to full-time ( https://go.fzj.de/near-full-time ), allow you to tailor your working hours to suit your individual needs FAIR REMUNERATION: Depending on your
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Do students receive financial aid? All doctoral positions are fully funded, including social benefits. Students also receive funding to attend conferences and other events related to their research, and have access to outstanding facilities. Do I need to know English? Yes, English is the...
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, engineering, physics, biophysics, applied mathematics, computational biology or a related quantitative field Strong background in deep learning for image analysis / computer vision, ideally on microscopy time
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Your Job: Investigate current challenges and bottlenecks in power flow analysis for large scale electrical distribution grids Apply machine learning/AI or surrogate modeling (e.g., neural networks