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Master’s degree. All applicants should have a background in molecular biology, biochemistry, microbiology, or computational science. Further information about available projects can be obtained by email to
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-grade undergraduate degree (first class or upper second) in Computer Science or MSc in related field. Skills Knowledge of programming, Computer Science, Computer Vision, Machine Learning, or related
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, into the research groups of Prof. Oliver Buxton whose expertise is on turbulence, wind-energy flows, and turbulent cloud microphysics and Prof. Luca Magri whose expertise is in scientific machine learning
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innovative, interdisciplinary fully funded PhD programme that brings together science, engineering, and mathematics to tackle some of the most pressing challenges of our time. Big Questions, Real Impact – From
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-Robot-Assisted Deep-Brain Localized Therapeutics Delivery for Neurological Disorders” (Program Coordinator Prof. Ioannis Charalampopoulos) invites applications for one (1) motivated Special Research
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the Czech Science Foundation (GACR project number 26-22037S) as a collaborative award between the groups of Dr. Jakub Psencik at Charles University in Prague (external co-supervisor) and Prof. Roman Tuma
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Training in Engineering Solutions for Antimicrobial Resistance. Further details about the CDT and programme can be found at AMR CDT website Applications should be submitted by 12th January 2026.
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of the PhD study program, please see DTU's rules for the PhD education . Assessment The assessment of the applicants will be made by Prof. Sebastian Meier and Assoc. Prof. Martin Nielsen. We strongly prefer
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of the study programme prof. RNDr. Vít Vilímek, CSc. vit.vilimek@natur.cuni.cz Do you have a question? Complete information about the admission procedure can be found on the website for applicants
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Conditions of the admission procedure for doctoral study programmes. Departments involved in this programme Institute for Environmental Studies Guarantor of the study programme prof. RNDr. Tomáš Cajthaml, Ph.D