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engineering. We aim to unravel the logic of genome organisation and metabolic control—with the bold vision of building synthetic life. In this role, you will develop and apply computational methods to analyse
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, faculty members, researchers, and students are revolutionizing focus areas in advanced manufacturing, bioengineering, computational engineering, energy and the environment, product design, and robotics. In
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. - Biomedical Engineering, PhD or terminal degree or combination of education and experience may substitute for minimum education. - Neuroscience, PhD or terminal degree or combination of education and experience
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, computer science, biomedical engineering, biology, or other biomedical discipline. Previous research using 2-photon imaging, slice electrophysiology, optogenetics, rodent behavioral analysis, calcium imaging
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: Engineering / Biomedical Appl Deadline: none (posted 2025/06/30) Position Description: Apply Position Description The You lab at Duke (youlab.bio) is seeking a postdoc candidates with strong training in
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
requested or required to support the work of the research project. Minimum Education and Experience Requirements PhD in one of these fields: Computer Science, Data Science, Biomedical Informatics
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About Us King’s College London is one of the top research universities in the UK, with a strong tradition of interdisciplinary biomedical research. This role sits within a leading research group
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responses. The position will be embedded within the research groups of Prof. Dr. Peer Fischer and Prof. Dr. Jochen Wittbrodt to combine engineering and biomedical expertise. The position is also embedded in
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
Posting Information Posting Details Department Lampe Biomedical Engineering - 424601 Posting Open Date 07/22/2025 Application Deadline Open Until Filled Yes Position Type Postdoctoral Scholar
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language models (LLMs), generative AI, and cancer informatics. Projects may include training and fine-tuning domain-specific LLMs for clinical document summarization, treatment recommendation reasoning