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: PhD degree in analytical, biological, food, or computational chemistry, biotechnology or related field Experience in mass spectrometry (especially GC-MS) and programming (e.g. R), statistical knowledge
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heterostructure samples. Basic skills in scientific programming and open-source transmission electron microscopy software are an advantage. Excellent command of written and spoken English (C1 Level or equivalent
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• Excellent knowledge of quantitative and/or qualitative statistical analysis methods (experience in statistical programs such as SPSS, R, MAXQDA) • Experience in research management and in leading project
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for results. You should already have significant programming experience. Additional knowledge in High-Performance Computing or Machine Learning is an advantage. The start date of the contract is negotiable
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for results. You should already have significant programming experience. Additional knowledge in High-Performance Computing or Machine Learning is an advantage. The start date of the contract is negotiable
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the team! It is that easy to apply: Application documents should include: letter of motivation including time plan for doctoral thesis milestones that will be achieved in the duration of the short-term
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curiosity-driven research project in the field of ultrafast dynamics at surfaces. You will present your research plan to the faculty and complete a dissertation agreement within 12-18 months. This will be
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curiosity-driven research project in the field of electronic structure theory and ultrafast quantum dynamics You will present your research plan to the faculty and complete a dissertation agreement within 12
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at C1 level Knowledge of Spanish and Italian is preferred IT user skills (especially MS Office) Familiarity with the possible applications of text-generating programs and other AI systems. Ability to work
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Didactic skills / experience in e-learning Skills in experimental work with babies Programming skills (Matlab) Advanced knowledge of statistics (R) Experience with multiverse analysis and open science