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Sorbonne Université SIS (Sciences, Ingénierie, Santé) | Paris 15, le de France | France | 29 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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, life science and energy research with world-leading industrial research and development projects. The division of Condensed Matter and Materials Theory constructs models for and develops
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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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Design Lab – works on modelling, control and optimization for mechatronic systems, industrial robots and processes (https://dynamics.ugent.be ). We are part of the department of Electromechanical, Systems
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preservation of historic infrastructure, we welcome your application. Job requirements You excel in developing complex numerical models and analysing simulations, bringing strong communication skills
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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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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
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. • Design, implement, and train machine learning models for tasks such as object detection, recognition, and image segmentation. • Develop scalable training pipelines and optimize models for real-time or
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. The ideal candidate will have a strong background in modeling and simulation of atomic and molecular structures, along with extensive experience in analyzing the electronic and structural properties
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Center for Astrophysics | Harvard & Smithsonian | Cambridge, Massachusetts | United States | 2 days ago
world-class scientists, contribute to current and on-going research, and develop essential skills in data analysis, numerical modeling, and scientific communication. With personalized mentorship, access