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Job Description Are you passionate about scientific machine learning, particularly physics-informed machine learning? If so, this position might be perfect for you. We are seeking a data scientist
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on a panel of selected test bacteria and culture methods underestimate the biocide tolerance of Campylobacter . Your primary tasks will be to: Collect existing data regarding the biocide tolerance
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or Physics. For information of eligibility of completed programmes, see General assessments for specific countries and Assessment database . Terms of employment in the regular programme Employment as
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can read more about career paths at DTU here . Further information Further information may be obtained from Prof. Stefan Kragh Nielsen, skni@fysik.dtu.dk . You can read more about the section
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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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. The allowance will be agreed upon with the relevant union. Period of employment is 3 years. Starting date is expected to be 1 October 2025 or according to mutual agreement. Further information Further information
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Job Description AI has begun to transform molecular discovery and design for proteins, DNA, RNA, small molecules and more. Yet many outstanding challenges in health and sustainability remain data
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approval, and the candidate 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
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If you are ready to launch your research career in advanced manufacturing and want to build cutting-edge skills in AI and real-time data-driven production, this PhD opportunity is your gateway. As
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for the efficient formation of high-value compounds. Advanced NMR methods and computational data analysis will be compounded to devise novel reactions towards pharmaceutical precursors, polymer building blocks and