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Field
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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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tissue specimens Assemble analysis pipelines using machine learning to process tissue data reproducibly and at scale Conduct analyses using programming languages such as R and Python Collaborate with other
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generating transgenic mouse models. Comprehensive core facilities for advanced flow cytometry, genomics, and single-cell sequencing. Responsibilities Perform intravital surgery to implant optical imaging
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people with subclinical and clinical disordered eating and related body image concerns and body image management efforts. Appointment at Grade 7 is dependent upon having been awarded a PhD; if this is not
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | about 1 month 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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you will need to evaluate all active thermography approaches for composites inspection, develop a database of raw and processed thermographic images of different defects - geometries on composites, test
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Adaptation who has: a PhD in a relevant field such as Management, Organization Studies, Urban Studies, Social Sciences, Political Sciences, Computer Sciences, or Engineering, with a strong track record
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(“Fellows”), over 210 postdoctoral positions and has established a research school for 260 PhDs, including industry PhDs and postdocs. Fellows are recruited to the 11 participating host universities
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of the candidate. The position is full-time for one year with the possibility of extension subject to work performance, funding availability and compliance with UBC and BC Cancer policies. APPLICATION PROCEDURE
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develop new deep learning algorithms for spatio-temporal medical image analysis with particular focus on learning from limited labelled data. General information about the position. The position is a fixed