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studying deformation mechanisms in refractory alloys as via atomic-scale calculations as well as application of machine learning to materials discovery The ideal candidate will have the following
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machine learning—for chemical and biological applications. You will design and implement models ranging from molecular to process scales, develop model-predictive control and optimization strategies, run
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Fayetteville, NC. Successful candidates will have a strong record of clinical experience with PTSD, military servicemembers, and veterans, as well as experience in developing, leading or substantially
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’ achievement of the learning objectives. Education and Experience Requirements Required : Advanced Degree (MFA, MA, PhD) in Theatre, Stage Management, or comparable field/graduate degree. Desired: Teaching
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advanced machine learning and deep learning tools to decode the complexity of immune–tumor interactions, integrate multi-omics data at scale, and predict patient responses to therapy. The center works at
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machine learning—for chemical and biological applications. You will design and implement models ranging from molecular to process scales, develop model-predictive control and optimization strategies, run
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Molecular Pathology at the Full Professor rank. Expertise in molecular pathology, clinical bioinformatics/informatics, and genomics is essential. Research interests in machine learning, artificial
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data Experience with GIS/RS and database environments (e.g., ArcGIS and Quantum GIS) Experience with machine learning and statistical learning Experience working with large, diverse datasets Familiarity
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of Computer Science and Engineering College of Engineering Position Overview The Department of Computer Science and Engineering is accepting applications for a part-time Lecturer or Senior Lecturer appointment to teach
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of Engineering The Department of Engineering Education (https://eed.osu.edu/) at The Ohio State University invites applications for a part-time Lecturer appointment to teach first-year engineering courses