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to obtain your own academic qualification as part of a doctorate is given. Your profile: An excellent MSc degree (or equivalent) in biochemistry, chemistry, biology, computational science, bioinformatics
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. Experience in working with large data sets, knowledge of statistics, and some programming expertise is essential. The project is based in ECEHH, at the University of Exeter’s Penryn Campus in Cornwall, and may
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the carbon footprint of milk production. The project will apply advanced statistical methods, artificial intelligence, and cutting-edge genetic models to support and enhance management and breeding decision
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motivating the application (cover letter) Curriculum vitae Grade transcripts and BSc/MSc diploma (in English) including official description of grading scale Contact information of 2 referees You may apply
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communication skills are encouraged to apply. A MSc degree (or equivalent) in Mechanical Engineering, Computational Physics, Materials Science or a related discipline is required, with experience in atomistic
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on the topic assigned for each position. Requirements: outstanding university degree (typically M. Sc.) in Computer Science, Data Science, Statistics, Mathematics or another relevant field study with good GPA
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vitae Grade transcripts and BSc/MSc diploma (in English) including official description of grading scale You may apply prior to obtaining your master's degree but cannot begin before having received it
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require a Master’s degree in the natural sciences as an entry qualification, GGNB also includes two integrated MSc/PhD programmes (IMPRS for Molecular Biology and Neurosciences) that accept outstanding
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at international summer schools will be provided in addition to the stipend. University fees: Funding support is in place for 4 years of fees. Start date: September 2025. Academic Entry Requirements: MA/MSc/MPhil in
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, governance, and economic innovation. Furthermore, the ideal candidate….. Has a strong academic background (MSc, research master) in a field such as organizational studies, business administration, innovation