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different modalities of microscopy (widefield, confocal, spinning disc, TIRF, super resolution), Image Processing (e.g., Fiji / ImageJ) and data analysis. • Good communication skills (written and oral
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, and Abilities: A PhD in physics, engineering, or a related field. At least 10 years of experience with research in superconducting magnet technology. At least 6 years of management and leadership
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function. The successful applicant will have experience in neurophysiology, with experience in electrophysiological, imaging and/or optogenetic approaches and an interest in applying those to in vivo
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systems paradigm within the area of AI has been widely researched since the early 1990s, but has come to prominence recently with the emergence of Large Language Models (LLMs). The possibility of using
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or internationally excellent for its impact on society in the last Research Assessment Framework. Job description The Raman Spectroscopy group is focused on using spectral imaging to obtain biochemical fingerprints
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the guidance of the PI (Greg Cartee, PhD) and other experienced researchers. The goal is to use physiological, biochemical, molecular, and cellular approaches to test specific hypotheses about the mechanisms
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group led by Prof Petra Hajkova investigates molecular processes that underlie global erasure of epigenetic information. As in vitro cellular reprogramming systems are notoriously inefficient and
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have an excellent PhD in biomechanics (or a related discipline), possess a solid knowledge of non-linear finite element modelling, have a strong experience in developing and validating patient-specific
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research groups to prototype, refine, and scale AI applications that accelerate research productivity and innovation. Evaluates and integrates open-source and commercial AI platforms to optimize research
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Sapey, provides robust support for projects involving big data and Artificial Intelligence (AI), including Natural Language Processing, Computer Vision, Machine Learning, and Deep Learning. The team’s