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good knowledge of experimental research methods and statistics, experience with sta-tistical software (e.g. JASP, R)•Programming skills (e.g. in Matlab, Python/Psychopy and/or R) or willingness
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shock factors in plants”: PhD student (f,m,div) in Plant Biology Reference number: 26/2025/1 The salary will be based on qualification and research experience according to the wage agreement TV-L, up
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team of neuroscientists, computer scientists and clinicians Your Profile: Excellent university degree (Master) in neuroscience or a related field Solid understanding of statistics and programming (Python
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population centers. As a PhD student, you will: Operate and characterize state-of-the-art mass spectrometers (PTR and NH4+-CIMS; VOCUS) to measure urban VOCs and their oxidation products Participate in
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factors in plants”: PhD student (f,m,div) in Plant Biology Reference number: 26/2025/1 The salary will be based on qualification and research experience according to the wage agreement TV-L, up to pay scale
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Associated Applied Statistics and Empirical Methods (ASEM) Programme Faculty of Chemistry Chemistry Thematic programme Catalysis for Sustainable Synthesis (CaSuS) Programmes Faculty of Geoscience and Geography
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full-time Programme duration 6 semesters Beginning Only for doctoral programmes: any time Application deadline Any time Tuition fees per semester in EUR None Combined Master's degree / PhD programme No
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degree (Master) in neuroscience or a related field Solid understanding of statistics and programming (Python or Matlab) Passionate about human neuroanatomy and cognitive neuroscience Excellent written and
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knowledge of quantitative methods, particularly in statistics and econometrics; experience in machine learning is a plus Background in business/management/behavioral science Experience with programming
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can be found on our website . Tuition fees per semester in EUR None Combined Master's degree / PhD programme No Joint degree / double degree programme No Description/content IMPRS-ML – A Structured PhD