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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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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 2 months ago
Stage Researcher (R1) Positions PhD Positions Country Portugal Application Deadline 15 Oct 2025 - 00:00 (Europe/Lisbon) Type of Contract Other Type of Contract Extra Information Research fellowship Job
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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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transgenic mouse models. Comprehensive core facilities for advanced flow cytometry, genomics, and single-cell sequencing. Responsibilities Perform intravital surgery to implant optical imaging windows over
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Postdoctoral Fellow - Patch-clamp electrophysiology (Kohl lab) Contract term: This is a full-time, fixed term (4 years) position on Crick terms and conditions of employment. About us The Francis
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of imaging, and bio sample collection, processing and storage. Coordinate patient and public involvement activities relevant to the HEATMAP project. Collaborate with clinical colleagues in the Early
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on clinical trials, as well as contributing to the development of data-driven interventions and stewardship models to enhance patient outcomes after surgery. This position is an opportunity to work with a
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related to staff position within a Research Infrastructure? No Offer Description The Role Applications are invited for the post of Clinical Research Fellow who will work alongside the study teams and
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-disciplinary team of researchers, including bioinformaticians, pathologists, oncologists, and computer scientists, and conduct original research on computational pathology. Digital pathology images contain rich
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health records (EHR), waveforms from bedside monitors, radiology images and wearable sensors. This position offers a unique opportunity to work closely with clinicians on applications of machine learning