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job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description FAIR promotes a new
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artificial intelligence and look forward to welcoming ambitious new members to our team. The research program of the group lies in the intersection of AI and medical ultrasound imaging. The paradigm shift
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microscopy. Experience in assay development, quantitative image analysis, biomaterial-cell interactions, nanoparticle uptake and intracellular trafficking, cancer biology, stem or progenitor cells, osteogenic
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INESC COIMBRA - INSTITUTO DE ENGENHARIA DE SISTEMAS E COMPUTADORES DE COIMBRA | Portugal | 3 months ago
at the COMPETE2030-FEDER 00774800 Funds Desk, of the Institute for Systems and Computer Engineering of Coimbra (INESC Coimbra), BI Refª.UI0308/RADICAL.3/2026, with financial support from FEDER, under the following
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 18-Jul-26 Location: Notre Dame, Indiana Type: Full-time Categories: Academic/Faculty Computer/Information Sciences
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, Life Sciences, Chemistry, Neuroscience or a related field from an accredited institution Work Experience: Previous experience with laboratory management Experience in microscopy, histology, imaging, and
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INESC COIMBRA - INSTITUTO DE ENGENHARIA DE SISTEMAS E COMPUTADORES DE COIMBRA | Portugal | 3 months ago
at the COMPETE2030-FEDER 00774800 Funds Desk, of the Institute for Systems and Computer Engineering of Coimbra (INESC Coimbra), BI Refª.UI0308/RADICAL.2/2026, with financial support from FEDER, under the following
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and immunity · Spatial, systems, and computational cancer or immunology · Single-cell, functional-genomic, proteomic, metabolomic, or imaging approaches to cancer and/or immunity
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Research Fellow in Machine Learning and Applied Cognitive Neuroscience available at the Department of Informatics. The fellowship period is three years. Depending on the candidate and the teaching needs
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of services. Data Science, AI/ML Modelling and Technical Research Support Support healthcare AI projects involving statistical modelling, machine learning, predictive analytics, natural language processing