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experience with statistical tools (e.g. in R, MatLab, or Python) are expected. The team at DTU Aqua is highly international and knowing the Danish language is not needed. You must be available for boat-based
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transformation across all our therapy areas in Research & Early Development (R&ED) at Novo Nordisk . Automation & Process Optimization Department is located in Maaloev (Denmark). We work in multidisciplinary teams
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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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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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that provide analysis of both liquids and gasses. The successful candidate is expected to spend approximately 50% of the time at TOPSOE R&D, located in Lyngby. Principal supervisor: Professor Jan H. Christensen
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. Documented experience with any project in the blue bioeconomy domain, with Life Cycle Assessment, and with programming for data science(R, python) will be considered a strong plus. Proficiency in English is a
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Research, Computer Science, Mathematics, Applied Mathematics, or related fields. Proficiency in programming languages such as Python, R, or other programming languages. Familiarity with multi-agent systems
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Job Description Would you like to contribute to solving some of the most critical challenges industrial coatings are facing today and are you looking for a carrier in R&D or academia? At CoaST
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DTU Tenure Track Researcher in Nutrition, Sustainability and Health Promotion with a focus on Sus...
xperience with quantitative research methods, Experience in reproducible statistical analyses (preferably R and Python) and in the peer-reviewed publication of results. Must be able to work interdisciplinary
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part of an agile team, with a strong sense of responsibility Willingness to engage in application-oriented R&D, by closely interacting with company staff In close teamwork with our researchers and staff