19 phd-position-in-image-processing-"University-of-Exeter" Postdoctoral positions at Nature Careers in Belgium
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hub investigating the critical roles of ion channels—particularly the TRP superfamily—in physiological and pathological processes. Our interdisciplinary approach spans from foundational
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researcher interested in studying human-associated microbial communities in health and disease. The ideal candidate has the following qualifications: A PhD degree in bioinformatics, computational biology
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and ultimately accelerate these activities to combat climate change. Our approach combines science and engineering, beginning with the study of fundamental microbial metabolic processes that can be
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of sustainable technologies that positively impact society. For more information, please visit our website: https://wwwen.uni.lu/snt/research/finatrax/ . The candidate will be funded through an industry
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should have a strong background in a quantitative discipline and an interest in neurodegenerative diseases. Essential: You obtained a PhD in Computational Neuroscience, Bioinformatics, Computer Science
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brain xenotransplantation, mouse transgenesis, in vivo mouse brain imaging, and ex vivo human brain recordings. See more in selected references from the lab: Libé-Philippot et at al. Cell (2023) 186(26
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on several activities concerning the application of generative AI to automate the testing of software systems. The position holder will be required to perform the following tasks: Carrying out research in
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features. Developing innovative research concepts and contributing to the scientific direction of the group. Mentoring of PhD students and supporting their academic development. Participating in educational
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autonomous systems led by Dr. Jose Luis Sanchez-Lopez. The position holder will perform the following tasks: Conduct cutting-edge research in perception and situational understanding, advancing the state
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Networks, and ICT Services & Applications. Your role We offer a dynamic postdoctoral research position who will join the TruX Research Group headed by Prof. Dr. Tegawendé F. Bissyandé. The successful