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, primarily functional Magnetic Resonance Imaging (fMRI), combined with behavioural, cognitive, and affective measures. The successful candidate will join an interdisciplinary research team working
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of manufacturing. We have identified an opportunity to combine continuous microfluidic (µF) process models, process analytical techn ology (PAT) and machine learning (ML) to achieve a paradigm shift in bioprocess
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stimulation and recording electrodes. Design, execute, and analyze research studies using intracranial EEG (ECoG, SEEG) data from animals and humans. Perform advanced signal processing and time–frequency
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both nationally and internationally. Today, the Division of Solid Mechanics consists of approximately 25 employees, of which around 15 are PhD students. The work environment is open and welcoming
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committed to fostering a collaborative and innovative research environment and works with large-scale imaging and sequencing datasets. We offer a 2-year postdoctoral position with system administration
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fellowship-program offers excellent researchers who have recently completed their PhD the chance to continue their research career at CTU. Fellows receive a two year fellowship and become members of a team led
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advanced microscopy and imaging, laser microdissection, multispectral imaging, and in vivo imaging. Collaborative access to the HudsonAlpha Institute for Biotechnology offers state-of-the-art sequencing and
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Reference Number AE2026-0059 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2026-0059.pdf JOB
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before applying to PhD or MD programs. The successful applicant will be energetic and detail-oriented with at least two years of experience in a wet lab research setting. Applications should include a
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. ESSENTIAL REQUIREMENTS A PhD inMachine Learning, Computer Vision, Computer Science, Physics, Engineering, Mathematics or related areas. Documented expertise in: Machine/Deep Learning, and possibly Computer