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parallel programming and/or high-performance computing, particularly on GPU or FPGA architectures; Knowledge of compression techniques, including predictive coding, filter banks, transforms, and statistical
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monitoring; Experience in parallel programming and high-performance computing; Ability to work autonomously within a multidisciplinary team; Experience in communicating technical-scientific results orally and
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provides a structured taxonomy of exact, approximate, and parallel algorithms, indicating which ones have publicly available implementations. 4. REQUIRED PROFILE: Admission requirements: Undergraduate
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in the context of renewable energy systems. REQUIRED PROFILE National, foreigner and stateless candidates holding a PhD degree in PhD in PhD degree in Industrial Engineering and Management, Mechanical
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ROV/AUV systems, underwater navigation, positioning, perception and data acquisition. ; Supervision, mentoring and technical guidance of junior researchers, engineers, MSc students and PhD students
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National, foreigner and stateless candidates holding a PhD degree in PhD in PhD in Agricultural Sciences, with a Bachelor's and Master's degree in Agricultural Engineering. or related scientific area, and
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acquired across multiple anatomical regions to form a patient-level assessment. This PhD project will investigate novel deep learning methodologies that jointly model anatomical structure and prediction
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aiming to develop trustworthy artificial intelligence technologies for gastric cancer prevention. The project also involves collaborations with hospitals in Rome, Bucharest, and Rotterdam.; ; This PhD
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data collection and its management and monitoring. Prior experience in a hospital setting in the field of biomedical engineering. Minimum requirements: PhD student. Experience in biomedical data
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development projects directly related to the offshore maritime industry. REQUIRED PROFILE National, foreigner and stateless candidates holding a PhD degree in PhD in PhD degree in Mechanical Engineering