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details can be found at https://www.net-zero-fibe-cdt.eng.cam.ac.uk/ The project is funded in collaboration with CamDragon Co. Ltd, a Cambridge-based SME offering engineering consultancy and STEM education
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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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. Desirable Prior Experience Previous experience working in the field of microbial genomics, bioinformatics or computational biology would be desirable How to apply This project is offered as part of the Centre
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within the centre for Crop Systems Analysis (CSA) at Wageningen University. PhD position #1 will be supervised by Dr Luuk Croijmans, Dr Dirk van Apeldoorn, and Prof Dr Niels Anten. PhD position #2 will be
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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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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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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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, 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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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