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Field
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for experiments and building the analysis and optimizer steps under supervision of a PhD student. Core Responsibilities Include: Play with the proof-of-concept command-line tool to generate specifications from
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, covering diagnostics and sensing, but also therapeutic and anti-inflammatory strategies. Engineering and optimizing hybrid nanomaterials, including plasmonic materials and hybrid systems, to enable advanced
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Fundación para la Investigación Biomédica del Hospital Gregorio Marañón (FIBHGM) | Spain | about 2 hours ago
expression analysis and comparative studies of gene expression profiles. • Participation in the optimization and development of new technologies. • Active collaboration in meetings and seminars, including
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, the Optimized AI team focuses on computing techniques to scale up a wide range of AI approaches and drive the SW-HW-Technology co-optimization. We analyze and implement AI models and software architectures while
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objectives of the project by identifying optimal land management solutions to balance food production, greenhouse gas emissions reduction, nature conservation, and economic co-benefits. This will involve
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will develop novel ligands for a validated drug target in acute myeloid leukemia. Building on our promising preliminary results, you will optimize and expand the hit discovery using computer-aided tools
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-objective, real-time) and supply-chain optimization; PdM and RUL with health monitoring; digital twins/smart factories, cross-site transfer and federated/edge learning; uncertainty estimation and calibration
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for atomic oxygen protection Deposit and optimize conformal coatings on satellite-relevant composite and polymer substrates Study the impact of deposition parameters on coating performance (adhesion, barrier
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entitled “Non‑Alcoholic Beer Production Using Enzymatic Treatment of Barley Wort for Optimized Fermentation with Non‑Saccharomyces Yeasts.” The primary objective of this project is to demonstrate
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, environmental disturbances, aging effects, and calibration issues, which may compromise monitoring and optimization strategies. The objective of this PhD project is to develop methods to ensure reliable