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Science and Technology (CST) at the University of Cambridge. The goal of this PhD programme is to launch one "deceptive by design" project that combines the perspectives of human-computer interaction (HCI) and
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aspects of cheminformatics. The position is founded by the Challenge Programme of the Novo Nordisk Foundation: “Mathematical Modelling for Microbial Community Induced Metabolic Diseases ”, led by Prof
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proposed starting time is Autumn 2025, with room for flexibility. The appointment will be made at a competitive salary and will follow the PhD study programme at the Faculty of Science . The Department
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, Department of Plant and Environmental Sciences, roitsch@plen.ku.dk , Direct Phone: +4535333431. The PhD programme Qualifications needed for the regular programme To be eligible for the regular PhD programme
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holidays and weekends (e.g. between Christmas and New Year) Flexible working hours Further development of your personal strengths, e.g. through an extensive range of training courses; a structured program of
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, e.g. through an extensive range of training courses; a structured program of continuing education and networking opportunities specifically for doctoral researchers via JuDocS, the Jülich Center
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for Science & Technology (KAIST), and an external stay at KAIST will be included as part of the PhD program. Qualifications Proficiency with Python Experience implementing various Machine Learning algorithms
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expected. A PhD training programme is part of the agreement, and the successful candidate will be enrolled in the Graduate School of Science and Engineering. Applications must include: Letter of motivation
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agreed upon with the relevant union. The position is a full-time position. The researcher position is part of DTU’s Tenure Track program. Read more about the program and the recruitment process here . You
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need to contact the project supervisor to discuss. Online applications are made via the 'Apply' button above. Please select Engineering Mathematics* on the Programme Choice page. You will be prompted