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and monitoring of both software applications and LLM/ML models. The MLOps engineer will develop, maintain and optimize the LT Lab’s infrastructure and pipelines related to LLM and ML models to ensure
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coatings using techniques like electrodeposition and dip coating. •Develop and characterize porous TiO₂ and metal oxide thin films. •Establish and optimize 3D in vitro skin models for biological testing
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of research, in particular the design and development of multisensor acquisition and fusion architectures, applied artificial intelligence and optimization techniques in sectors such as energy, air traffic
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dynamic, uncertain worlds. Multi-Objective & Black-Box Optimization: Real-world problems rarely have a single, simple objective. We research methods to navigate complex trade-offs (e.g., performance vs
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: Synthesis and optimization of PLGA-based nanoparticles and enzymatic nanomotors. Drug loading/release studies in cellular models. Development of patient-derived mucus-secreting tumor-on-a-chip model
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at developing a new biogel composed of optimized elastin-like recombinamers for the prevention of scar tissue formation after myocardial infarction (MI). Within this project, TPNBT is responsible for the (bio
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, fluorescence screening, RNA footprinting and computational methods to study the atomic structure and dynamics of the RRE, identify new antiviral candidates and guide the optimization process. The publication
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-146347OA-I00 Job title: A digital twin for the optimal monitoring and radiotherapy of prostate cancer based on personalized computational forecasts Research line / Scientific-technical services: Digital
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. − Optimization of non-thermal atmospheric plasma treatments for the transformation of by-products from the food industry. − Analysis of microbiological risks in the food chain. Researchers contracted through
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appropriate modelling details for each identified interaction. Establish optimal detection methods for converter-driven interactions in modern electrical energy systems. Propose systematic procedures