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encouraged!) Your profile Master’s degree (or close to completion) in Microbiology, Immunology, Molecular Biology, or a related life science Strong motivation to learn new in vitro, ex vivo and in vivo
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Tropical Silviculture and Forest Ecology Ecosystem Modelling Wildlife Management Biodiversity, Macroecology and Biogeography Landscape Resilience Course organisation The PhD programme in Forest Sciences and
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, statistical physics, fluid mechanics, phase transitions, non-linear dynamics and chaos! Doctoral Insights Symposium Sign up here to learn more about us and other structured PhD Programs across Europe! Applied
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of new EEG and MEG neuroimaging and mc-tCS simulation approaches based on realistic head volume conductor models using modern finite element methods as well as sensitivity analysis. The new methods will be
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Great interest in pre-clinical in vivo models Ideally initial experience with Bioinformatics experience, especially in R What we offer Goal-oriented, individual training and development opportunities
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aiming for successful careers in science. Our comprehensive curriculum allows our students to tailor their learning to their interests, requiring them to earn 25 ECTS through various activities
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Machine learning Experience is ideally shown through a thesis, seminar papers, or scientific publications. Alternatively, excellent grades in a respective Master’s programme. Strong intrinsic motivation
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research questions from several fields such as software and domain engineering, system modelling and analysis, application adaptability and integration, human computer interaction, security, and
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Engineering Tissue Processing and Preservation Animal Models of Human Disease Principles of Organ Transplantation Topics covered during the third semester: Regenerative Approaches: Blood & Immunity; Liver
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research areas. New insights and synergetic effects resulting from collaboration between inherently different viewpoints of separate fields typically accompany this endeavour. Our task force on machine