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for data processing and analysis will be used. The fellow will also take part in modeling and simulation activities, as well as in the dissemination of results. Specific tasks include: A2. Data Collection
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Sorbonne Université SIS (Sciences, Ingénierie, Santé) | Paris 15, le de France | France | 24 days ago
dynamics simulations of biomolecules in solution – using models of about 100 000 atoms – that provide a data set to train stochastic low-dimensional models (Langevin equations), based on diffusion on a
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changes in microgravity conditions. d. Ability to perform cell culture and tissue models such as 3D tissue models and microfluidic systems to simulate microgravity. e. Understanding and experience with
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large-scale numerical simulations to design a laser-based optical system capable of efficiently generating electron-positron pairs through the collision of structured laser pulses. The research liesat
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modeling approaches-including machine learning (ML), hydrologic and energy systems simulations, and scenario forecasting-to evaluate dynamic energy-water futures and resilience strategies for diverse Idaho
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of mathematical derivations — checking proofs, running numerical simulations, implementing models in Python or Mathematica, researching the relevant literature. You do not need to be an expert in all areas the QBF
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The Doctoral Candidate will: Perform numerical modelling of the three NDE techniques to evaluate the influence of relevant material property gradients on each NDE observable generating a sizable synthetic
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skills in generative models applied to the design of bioactive peptides, with a strong focus on integrating these methods into the IA4Farma ecosystem. The work will include collecting and preparing peptide
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unprecedented sensitivity for cavity optomechanical searches for new physics, including high-frequency gravitational waves and vector dark matter. About your role: FEM-based design and simulation
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workload models and simulations that accurately mimic real-world traffic to establish scalability benchmarks. - Architectural Scrutiny: Participate in design reviews to identify performance risks in system