172 programming-"IMPRS-ML"-"IMPRS-ML"-"IMPRS-ML" positions at Technical University of Denmark in Denmark
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are looking for two new postdocs. You will join a new research program on the role of universities and entrepreneurial ecosystems in building deep tech startups and scaleups. You will work towards building a
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of the PhD study programme, please see DTU's rules for the PhD education . Assessment The assessment of the applicants will be made by Dr. Lei Yang and Prof. Johannes Kabisch (Norwegian University of Science
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our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . Assessment The assessment of the applicants will be made by Associate
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biochemicals and materials. Responsibilities and qualifications Your overall focus will be to establish and lead a strong research program in the field of synthetic biology and metabolic engineering of non-model
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. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . We offer DTU is a leading technical university globally
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will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD
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, Programming, and Physics. Python has been selected as the standard programming language in these courses, and all new students are expected to have a functional Python environment on their personal laptops
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experimental laboratory work Knowledge and understanding of cross-shore sediment and particle transport processes Experience with Lagrangian measurement techniques for particle transport Programming competencies
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or master’s degree in engineering, or equivalent, with hands-on experience in numerical modeling and software development for structural applications, preferably wind turbine blades. Advanced programming skills
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prior experience in at least three of the following areas: Python programming Develop LLM-based tools to automate data connector generation for data ingestion. Design and implement a multi-layered storage