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, involving expertise in optics, electronics, image and data processing, chemistry, and biology. With the support of several European funding programs, the team is building a data science and machine learning
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passionate about linking atomistic processes to device performance through computer simulations? Are you fascinated by designing next-generation semiconductors with quantum-mechanical methods enhanced by AI
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surgical robotics, with a focus on Vision-Language-Action (VLA) models and Physically Informed Neural Networks (PINNs). The project builds on our decades-long research in surgical simulation and will be
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. The research focus will be on developing and applying first-principles-based and data-driven computational methods to understand multiscale processes and to accelerate chemical discoveries for renewable energy
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converter degradation/failure analysis. Brief Description of Duties: The Postdoctoral Associate will support the Principal Investigator, Dr. Fang Luo , in the Department of Electrical and Computer Engineering
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applying ecosystem process-based models Strong programming skills in Python, proficiency with scientific computing and machine-learning libraries (e.g., PyTorch, TensorFlow, Scikit-learn) Experience working
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during cancer and viral pathogenic processes. The Atherton group is based in Randall Centre for Cell & Molecular Biophysics , home to a diverse array of structural and cellular biology research, which is
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the documentation you need for the selection process. The application must include: CV including relevant professional experience and knowledge. Copy of diplomas and grades from your previous university studies
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organic molecules or polymers. Downloading a copy of our Job Description Full details of the role and the skills, knowledge and experience required can be found in the Job Description document, provided
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: formulate the design space (categorical + continuous variables), craft domain-aware operators, and couple simulation results back into the search loop. The broader goal is to deliver a reproducible, scalable