514 computer-programmer-"https:" "https:" "https:" "Robert Gordon University" positions in Austria
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transdisciplinary teaching and research program. Candidates should have a proven track record in both theory and empirical research in the field of development studies. Experience, particularly in qualitative social
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, Bioinformatics, Computer Science, or similar Knowledge in bioinformatic analysis tools, Linux, Bash scripting and at least one of the following languages: Python, R Familiarity with plant transcriptomics
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and flexibility. We cover the whole data processing chain including image capture, image processing/computer vision and image content analysis with traditional and modern machine learning/AI methods
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stellar and planetary astrophysics and a strong background in computational astrophysics. The job consists of two equally important parts: 1) to contribute to the research in the area of atmospheric
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of courses and a broad and excellent research profile, the study programme offers a sound education in all areas of sociology, including methods of empirical social research. Your workplace: As a Senior
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| Classification CBA: §48 VwGr. B1 lit. b (postdoc) Limited contract until: 02.04.2032 Job ID: 5394 Your future place is at the Department of Sport and Human Movement Science in the research area of Computer
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Synergy Grant project SUSTECH – Accelerating Sustainable Technological Trajectories with Computational Chemistry and Machine Learning. Where you will be: The position is hosted by the research group
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• Language skills: native-level German, very good written and spoken English, good knowledge of Modern Greek, Ancient Greek, and Latin • IT skills, computer literacy • Ability to work in a team Desirable
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As Austria's largest research and technology organisation for applied research, we are dedicated to make substantial contributions to solving the major challenges of our time, climate change and digitalisation. To achieve our goals, we rely on our specific research, development and technology...
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curiosity-driven research project in the field of machine learning in computational materials science. You will present your research plan to the faculty and complete a dissertation agreement within 12-18