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, bioinformatics, biostatistics or a related discipline. References: 1- Wilson AL et al. Cancers 11 (2018) pii: E32 2- Kampan NC et al. Front Immunol. 8 (2017): 1482 3- Daillère R et al
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skills with R, C, C++ or Python. Desired: Knowledge or experience with spatial statistics, spatial modelling or GIS; Some knowledge with ecology; Excellent writing and communication skills; Experience with
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analysis and data processing. Strong programming skills in R (preferable) and/or Python, and experience or interest in weather prediction or climate models. Knowledge of machine learning, AI techniques, and
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experience in the following fields. Cyber-physical modelling and simulation Digital Twins Autonomous Agents and Multi-Agent Systems Machine Learning and MLOps Probability & Statistics incl. Python/R Place of
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equivalent to a two-year master's degree. Additional qualifications include: Good programming skills in Python, Julia, R or similar, and familiarity with C, C# or C++. Curiosity and interest in future urban
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of (or aptitude to learn) quantitative data analysis and coding (e.g. R). Or a background in computer or data science who can demonstrate their ecological or natural history knowledge. Candidates should have a
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The successful applicant will hold a Ph.D. in agricultural economics or related fields. The successful applicant should have experience using statistical programming languages, such as R, Python, SAS, etc
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software such as Matlab, R, Python or similar would be beneficial. The direction of the PhD is flexible and can be partially moulded to suit the strengths and interests of the successful candidate
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Python, R, Matlab, or another widely used language in data science. Strong communication skills, and proficiency in spoken and written English. We are looking for a candidate with a Master’s degree in
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• Knowledge of a Scandinavian language • Experience of programming in e.g. R or other bioinformatics skills We value a person who is motivated, curious and has a strong interest in contributing to research and