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, as well as quantum simulation, quantum computing, and machine learning. Currently, ECT* hosts 5 permanent researchers, 4 postdoctoral associates, the ECT* Director, 3 Ph.D. students, and 4
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License No If yes, what is the required licensure/certification? Required Computer Applications: Microsoft Excel, Microsoft Word, Microsoft PowerPoint, Microsoft Outlook Required Other Computer Applications
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(Kubernetes), serverless computing, and REST API development. Proficient in Python, with basic experience in machine learning or computer vision libraries; familiarity with Vision-Language Models (e.g., CLIP
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seeks a distinguished scholar for a faculty position at the Full Professor level. The ideal candidate will be at the forefront of research that integrates modern machine learning methods with economic
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strategic directions. Beyond our hiring focus areas mentioned above, the 50+ faculty members of the School of Interactive Computing also pursue research on artificial intelligence and machine learning; human
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motivation. Consistency in meeting deadlines and responding in a timely manner. Innovation: Possession of a natural curiosity to learn and a continual pursuit of personal and professional growth in the field
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are reviewed regularly and are subject to change. To apply, visit https://northeastern.wd1.myworkdayjobs.com/en-US/careers/job/Boston-MA-Main-Campus/Khoury-College-of-Computer-Sciences-SPHERE-Research
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) Neuromodulation approaches (TMS, tDCS, TUS) Neurogenetics Computational modelling (machine learning, reinforcement learning) Our research bridges scales (local circuits to global networks) and species (humans, mice
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 4 days ago
infrastructure you will have the opportunity to make an important contribution for a healthier society. The Theis Lab has a long-standing reputation for pioneering machine learning and AI methods in molecular
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combining advances in Physics-Informed Machine Learning (PIML) and Graph Neural Networks (GNNs) with real-world energy applications, the project aims to better capture the dynamics of urban infrastructures