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organization in unprecedented detail. These datasets will be integrated with genetic profiling and mechanistic follow-up studies to uncover how specific cellular states, transcriptional programs, and genetic
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been among the top 30 pct. in the graduation class for the study programme. List of publications and maximum 2 examples of relevant publications (in case you have any publications). References may be
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following qualifications: Programming skills and AI interest Data analytical skills and computer science focus Experiences with chemical analysis and pilot experiments is an advantage. Knowledge
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of AI/ML will be an added advantage. Proficiency with optimization tools and software like GAMS, CPLEX Proficiency with programming languages preferably Python, Matlab Fluency in communication and
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programme at the Faculty of Science . The ideal candidate has a background in or experience with one or more of the following topics: SIMD performance engineering. Machine Learning. Communication-efficient
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. The position is an Alliance PhD partially funded by DTU and partially funded by Villum Fonden under the Villum Young Investigator program. The PhD project will investigate the molecular basis of enzyme-substrate
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teaching program dedicated to methodological aspects of pharmacoepidemiological research. As a department, we value having a pleasant and informal working environment across all job functions at
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. Support for international researchers and their families, including Relocation Service and an Expat Partner Programme Living and working in Denmark Subsidised childcare and free education from primary
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primarily be in Automation and Process Monitoring on the following program Bachelor of Science (BSc) in Engineering (Mechanical Engineering). This includes knowledge on, e.g., various perspectives and
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qualifications relevant to the PhD project Previous publications Relevant work experience Other professional activities A curious mind-set with a strong interest in human evolutionary history, programming, archaic