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Field
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collaboratively with researchers and engineers to develop prototype solutions and human-in-the-loop evaluation frameworks. Conduct user studies and analyse results (e.g. eye-tracking, physiological sensing
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31, 2026. No one can be appointed for more than one PhD Research Fellowship period at the University of Oslo. The position is placed in the Digital Signal Processing and Image Analysis group (DSB
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qualifications Master’s degree in Information and Communication Technology (ICT), Computer Science, Artificail Intelligence, Machine Learning, Data Science, Electrical and Computer Engineering, or a similar
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Posting Details Position Details Title Postdoctoral Fellow in Bio-Photonics and optical imaging Appointment Status Non-Tenure Track Department IU Bloomington Intelligent Systems Engineering Location
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on the Black Hole Explorer (BHEX) mission which will conduct Space Very Long Baseline (VLBI) observations of black holes, with the goal of producing the highest resolution image to date of the black hole and its
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 3 months ago
to harness organ-on-a-chip technology to study metastatic dissemination in gastric cancer. We propose a xurography-based technology to fabricate a prototype of a multi-organ-on-a-chip microfluidics platform
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diagnostics and therapeutic stratification in lung cancer. In collaborating with cross-functional teams, including bioinformatician, computer scientists, AI engineers, biologists, and clinicians, you will
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. Job Requirements: Competence in working with languages such as C along with Python-based coding and AI development. Have a degree in Computer Science/Computer Engineering. Possessing a Master’s or PhD
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technology, investigating the use of commercial grade materials for generation and conversion of single photons between visible and infrared wavelengths. The main goal is to design and characterise
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Goonewardena - whose work has appeared in leading journals including NEJM AI, JAMA, and Circulation - the program fuses artificial intelligence, advanced cardiac imaging, multiomics (proteomics, metabolomics