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associate positions. Dr. Wei Peng's group (www.weipengenergy.com ) focuses on modeling institutional and human dimensions of energy transition to identify realistic and robust decarbonization strategies
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collaborative and interdisciplinary environment. For more information about the exciting work we do, check out our publications (https://bhattacharya-lab.faculty.unlv.edu/publications/). Key Responsibilities
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Learning for Biomedical Data. The postholders will focus on developing and applying state-of-the-art generative models (such as VAEs, GANs, and transformer-based architectures) to large-scale biomedical
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., PyTorch, JAX, TensorFlow, R, Bash). Strong publication record in top-tier venues (e.g., NeurIPS, ICML, ICLR, Nature Methods, Nature Biotech). Background in at least one of the following: generative modeling
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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for the local energy community. Do you want to know more about LIST? Check our website: https://www.list.lu/ How will you contribute? You will be mainly in charge of: Working with real-time simulators (OPAL-RT
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Models for Multi-Modal Reasoning This project explores the integration of graph-based foundation models (e.g., knowledge graphs) with large language models (LLMs) to build AI systems capable of reasoning
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varied job in a future-oriented research institute A state-of-the-art infrastructure and the latest technologies Flexible working hours, part-time models as well as home office A corporate culture of
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(TBI). The research will use in vitro and in vivo mouse models. Qualifications: 1). Recent PhD or equivalent degree in neuroscience, molecular biology, physiology, or cerebral vascular biology. 2
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skills and curiosity about complex systems. Position Overview You will design and implement new computational and statistical models to reverse-engineer causal networks from noisy, high-dimensional, multi