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molecular docking, molecular dynamics and free-energy methods (MD/FEP), machine learning for molecular design, and protein–ligand modelling. Experience bridging computational and experimental groups, and the
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is mandatory to apply. Large-scale data science workloads are increasingly constrained not by algorithmic complexity or model architecture, but by the physical limits of memory hierarchies and
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Numerical Study of Soil Remediation by Thermal Desorption with a Focus on Industrial Decarbonization
, coupling fluid flow and heat transfer phenomena with desorption kinetics. The developed model will be informed by operational data from real industrial sites and will incorporate literature data for common
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at CRAG (from basic science to applied research using plant experimental model systems, crops and farm animals) make extensive use of genomic technologies and large sets of genetic and genomic data (https
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approaches combining control, learning, and uncertainty quantification. This project develops a data-driven control framework grounded in first-principles models with emphasis on: Data-driven practical
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Python for code development and ML model training and inference, demonstrate excellent communication skills and be fluent in English, show strong interpersonal skills and the ability to work in an
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work focuses on integrating high-frequency clinical data, advanced signal analysis, and data-driven modeling into predictive models and personalized treatment strategies. In doing so, you strengthen
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are fluent in both languages are preferred); People can rely on you, and you are able to be role model for others; You are empathic and are interested in others; You think it is challenging and fun to teach
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numerical simulations using ANSYS Fluent or equivalent CFD software, including modelling of fluid flow, turbulence, radiation, heat and mass transfer, and chemical reactions occurring in biomass conversion
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systems, including renewable energy sources and energy storage systems. Development of predictive models and soft sensors for monitoring the technical condition and operational parameters of energy