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Researcher (R2) Positions PhD Positions Application Deadline 13 Apr 2026 - 17:00 (Europe/Lisbon) Country Portugal Type of Contract Other Type of Contract Extra Information N/A Job Status Full-time Offer
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EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description PhD Position in Multimodal AI for ICU Clinical Decision Support The Biomedical Data Science Lab
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also be expected to assemble and analyze data for eventual use in the preparation of progress reports, research proposals and publications. Minimum Education Required PhD Degree specializing in synthetic
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, see https://www.ntnu.edu/studies/phiot . As a PhD Candidate, you are obligated to participate in an organized PhD program during the employment period. A condition of appointment is that you are
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Extra Information N/A 4-year PhD scholarship Job Status Full-time Hours Per Week 40 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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previously been subject to various analyses. The analytical data is currently preliminary and incomplete. You will work with the unpublished dataset, identify data gaps and to carry out new analytical work
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their anticancer and neuroprotective activities in human cell-based assays. Generate SAR data linking specific enzymatic modifications to pharmacological properties. This PhD project offers extensive research
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mandatory): Experience with AI toolchains, multimodal data, data engineering, or MLOps. Experience building APIs, data pipelines, databases, analytics platforms, or decision-support tools. Interest in
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into microscopy image analysis and analytical data analysis workflows, together with other team members Building new foundation models for microscopy image analysis Implementing AI-based microscopy image analysis
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 6 hours ago
Experience * Proficiency in analyzing functional magnetic resonance imaging data. * Demonstrated skill in manuscript preparation, managing large datasets, multivariate analytical approaches, and/or