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Experience with programming (Python, Julia or other languages) and modelling Very good written and spoken English Our offer The full-time position as a PhD researcher (m/f/d) is to be filled with a start in
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qualitative methods; some background in or willingness to learn computational social science methods as well as R and/or Python is highly desirable. Willingness to develop an ambitious empirical research
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Programming skills (Python) and acquaintance with modern machine learning frameworks (PyTorch/JAX) are strong advantages The university seeks to raise the number of women in research and teaching and therefore
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, Environmental science, Geosciences or related fields programming experience in Python or extensive experience in another high-level programming language is a prerequisite experience in geospatial data science
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analytical skills have a strong programming background with experience in using Python, C/C++, and/or Java, etc. strong interpersonal skills with demonstrated ability to communicate (written and oral in
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technology and economics Experience in energy system modeling is beneficial First programming skills, ideally in Python Independent and analytical way of working Reliable and conscientious working style Fluent
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. Competence in computer-aided methods for data analysis and modelling, e.g. with Python, advanced MS Excel Sheets, Aspen or multiphysics simulation tools. Excellent cooperation and communication skills complete
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Familiarity with statistics and programming experience in Python are advantageous Strong intention to be a part of international team with interdisciplinary questions We offer: An interesting and vibrant field
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experimental work in an ultrafast optics laboratory Computational skills (Python, Matlab, etc.) are a plus A strong interest in teamwork and working with experts on a cross-institutional collaborative project
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interest in experimental work in an ultrafast optics laboratory Strong computational skills (Python, Matlab etc.) are a plus A strong interest in teamwork and working with experts on a cross-institute