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Scientific Computing and Model Analysis, Institute for Theoretical Sciences, Westlake University Appl Deadline: none (posted 2024/11/25) Position Description: Apply Position Description Group Introduction
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for Collider Physics , Precision Electroweak , Standard Model phenomenology , Theoretical High-Energy , Theoretical Particle Physics Particle Theory Theoretical Physics / QCD , Light-front Physics , Theoretical
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processing 2. nonequilibrium physics of molecular machines 3. understanding the role of phase-separated condensates with quantitative models 4. Modeling multicellular systems in mechanobiology 5. AI assisted
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of China, Sub-projects of the National Science and Technology Support Program, the National Spark Program, and Key R&D programs in Hainan, Guangxi, and Jiangsu provinces, as well as industry-funded
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, computer science, or related fields. o Strong background in quantum algorithms, error correction, or many-body quantum systems. o Proficiency in numerical simulations (e.g., tensor networks, quantum circuit modeling
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Project title Multi-Modal Large Language Model for Medical Image Analysis Research period 2 years Abstract The proposed research project aims to develop a novel multi-modal large language model (MLLM
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in intelligent edge computing architecture for industrial IoT. It also broke through key technologies in 2D/3D model fusion, serving medical care and cultural heritage protection, and developed cross
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Analysis, Pharmaceutics, Bioinformatics, Total Synthesis of Natural Products, Microbiology and Biotechnology, Computer-Aided Drug Design, Chemical Biology Introduce: The School of Pharmaceutical Sciences
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mathematics. These positions offer excellent interdisciplinary training possibilities in scientific computing, stochastic modeling, perturbation theory, statistics, and machine learning (applied to image and
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-oriented college with unique characteristics and an internationalized talent cultivation model. The School of Life Sciences offers a first-level doctoral degree program in Biology and a postdoctoral research