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, scale and resolution in which in vivo pathways of immune cells can be unraveled. Furthermore, it provides a goldmine for training causal machine learning models to move towards precision medicine
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, United States of America [map ] Appl Deadline: (posted 2025/06/24, listed until 2026/06/23) Position Description: Apply Position Description Overview Susquehanna is expanding the Machine Learning group and seeking
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for this position, however, we are still accepting applications from other qualified candidates. Position Summary Our goal is to identify computational principles underlying learning and decision-making behavior and
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conferences and workshops. The Research Assistant Professor may be asked to teach (or may ask to teach) but that is neither required nor guaranteed. Qualifications Applicants must have a Ph.D. in Economics or
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or qualification, field of scholarship, and accomplishments in the field. Minimum Number of References Required 2 Maximum Number of References Allowed 3 Keywords Machine Learning Reinforcement Learning Foundational
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(hep-ph) , HEP-Theory (hep-th) , Lattice Field Theory , Machine Learning , Particle Physics , Physics-informed machine learning , Quantum Computation , Quantum Information , Quantum Information Science
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. These scientific experiments involve one or more in the following areas: Hematopoietic stem cell biology and transplantation. Radiation mitigation and countermeasures. Immunotherapy particularly CAR T cell therapy
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cytometry). 25%: Project Management Mouse colony and research project management. 15%: Data Collection and Distribution Utilize basic computer skills to log data, conduct routine computer analysis of research
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of degree equivalency. Preferred Qualifications: Background in medical imaging, imaging simulation, and machine learning. Programming in Python, MATLAB, C, CUDA. Other Requirements: This position is hybrid
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& Machine Learning • Clinical pathways and decision support for patients with acute chest pain • AutoPiX – Explainable Deep Learning for Multimodal and Longitudinal Imaging Biomarkers in Arthritis • Speaking