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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
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into three multidisciplinary themes or streams of critical R&D, each focused on delivering societal benefit: Digital and Technical Literacy in Society: as our world becomes increasingly digital, a substantial