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, visualizing data, and writing clean & reproducible code) Experience with natural language processing tasks (in R or Python - familiarity with common tasks such as sentiment analysis, topic modelling
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or using pretrained-model APIs is not sufficient. Applicants must provide evidence of research potential through a substantial thesis, research project, code contribution or publication, clearly identifying
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intelligence and machine learning, with areas such as enzyme discovery and engineering, metabolic pathway design, genetic-code engineering, protein engineering, and the biosynthesis or biological incorporation
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Excellence in Research, see: https://employment.ku.dk/working-at-ucph/eu-charter-for-researchers/ . The Department of Political Science has a Code of Conduct expressing our continuous commitment to ensuring a
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knowledge in building ventilation systems, heat transfer, fluid dynamics, machine learning, data analysis, and coding e.g., Python. Understand sensors, actuators, data acquisition, and control systems
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://phd.arts.au.dk/applicants/open-and-specific-calls/ Street Taasingegade 3, building 1443 Postal Code 8000 STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket Viadeo
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environment Qualifications The successful candidate will have some of the following qualifications: Master or PhD in physics, photonics engineering, or related. Proven coding experience in scientific
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LawCountryDenmarkGeofield Contact City Copenhagen Website http://www.cbs.dk/ Street Solbjerg Plads 3 Postal Code 2000 STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket Viadeo
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scientific coding and related analyzing tools (e.g., R, Phyton, MatLab) Publications in high-ranking journals Good collaboration skills and ability to work in an interdisciplinary team within marine science
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simulation data Excellent programming skills, preferably in Python including code versioning in GitHub Experience with statistical analysis and/or machine-learning methods Knowledge of protein structure