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learning, deep learning, and LLM-based methods to multimodal clinical datasets e.g. EHR, imaging, omics, sensor data Designing and implementing NLP pipelines for clinical text processing, semantic annotation
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, substation, corridor scenarios) Integrate physics-informed machine learning models with signal processing feature extraction Develop prototype software tools for automated waveform analytics and real-time
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and pursues the goal of contributing to the development of a sustainable society in the digital age through research, teaching and administration. 2 x Academic Researcher (m/f/d) (TV-L E 13, 100
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Manufacturing and/or AI Robotics. Focus areas include: yield/defect causal analysis and XAI; process-variation monitoring and root-cause analysis; intelligent scheduling/dispatching for WIP/throughput (multi
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The Institute of Public Health of the University of Porto (ISPUP) opens an international selection procedure for hiring a Doctoral Researcher to carry out research activities in the scientific areas Food
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use of machine learning methods to process complex data sets. The focus is on techniques such as ultrasound, radar, computed tomography, acoustic emission analysis, and infrared thermography. Industry
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theoretical project, you will build a real working prototype of ambient backscatter tags operating over 3GPP cellular bands, using biodegradable materials. You’ll be part of a top-tier European consortium with
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knowledge, tools, methods and creative processes from design, humanities, social sciences, and physical sciences to address real-world challenges. Faculty and students conceptualize, prototype and evaluate
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to identify novel mediators of cancer cell death. Conduct mechanistic studies to elucidate how candidate genes regulate cancer cell death processes in vitro. Establish and utilize syngeneic mouse models