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Field
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collaboration with industry and authorities. You must contribute to the teaching of courses. DTU employs two working languages: Danish and English. You are expected to be fluent in at least one of these languages
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DTU’s Tenure Track program. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and academic
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engage in collaboration with industry and authorities. You must contribute to the teaching of courses. DTU employs two working languages: Danish and English. You are expected to be fluent in at least one
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. Programming gene circuits Modeling and designing synthetic DNA components Construction of Chemical Reaction Networks (CRNs) Simulation and analysis using MATLAB and Visual DSD Robust analysis of various modules
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exceptional researchers to join our dynamic team. As a Machine Learning Researcher, you will apply advanced ML techniques to a wide range of forecasting challenges, including time series analysis, natural language
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statistics, statistics programming languages like R, and applied data analysis for social science. Additionally, the RA will also help the Principal Investigator with general administrative assistant work
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cancer biology, demonstrated by publications in high impact journals. The person would be well versed with various techniques used in the field of cancer immunology as well as having the ability to plan
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, economics, engineering, statistics, or computer science. They will possess programming skills in at least one language, with experience in MATLAB and STATA considered desirable but not essential. Strong
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research with possible continuation as a research assistant or in a possible PhD degree programme Place of employment and place of work The place of work is the Department of Animal and Veterinary Sciences
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identification of spider mite infestation foci and needs-based beneficial insect application in outdoor cucumber cultivation’, which is funded by the BMBF within the funding programme KMU-innovativ: Bioökonomie