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Field
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;Knowledge in the collection, processing, and analysis of data obtained from physical activity and exercise monitoring technologies (e.g., wearables, sensors, or equivalent systems);Knowledge of exercise
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develop and optimize scientific and engineering applications leveraging high-speed network capability provided by the Energy Sciences Network or run on next-generation high performance computing and data
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or entropy coding; Knowledge of code optimization, parallel programming, and performance analysis, including computational complexity, throughput, latency, and memory management; Ability to work independently
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Optimization of Innovative Edible Solutions Derived from OceaNo", reference CENTRO2030-FEDER-02476000, funded by COMPETE 2030 - Innovation and Digital Transition Program/PT2030, through co-funding from
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corresponding qualifications that could provide a basis for successfully completing a doctorate. A strong knowledge base in applied thermodynamics, and modeling, simulation, and optimization of energy systems
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, e.g. in Python, particularly for machine learning Experience with machine learning theory, evaluation metrics, algorithmic fairness, statistics, or optimization is an advantage Language requirement
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during the grant is the design and implementation of a SQL-to-eBPF compiler that allows querying and correlating information about the state of the operating system. The work also aims at the optimization
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research projects with strong industry relevance, focusing on product development, process optimization and food characterization. Key Responsibilities Lead bench formulation of mushroom‑based and plant
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to our patients and communities; partner with providers to optimize test utilization and interpretation for clinical management; educate the best future physicians, laboratorians, and scientists; and
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control and optimization strategies, including reinforcement learning (RL) and optimal control approaches for state preparation and measurement protocol design under hardware constraints. Develop open