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various computer programs. • A PhD, MD or equivalent with prior relevant training in Immunology, Biology, Physiology, Biochemistry or related field. Required Application Materials: • Summary of previous
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checks with advanced machine learning architectures, specifically Long Short-Term Memory (LSTM) networks and Variational Autoencoders (VAEs). The researcher will use historical QC archives dating back
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of further research funding. If appropriate, the role may involve acting as a formal co-supervisor for research students. The post holders will hold a relevant PhD/DPhil, or be near completion, in Statistics
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, focused ion beam specimen preparation, and computer vision or machine-learning analysis of microscopy datasets. The position requires strong experimental, analytical, written, oral, and interpersonal
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, responsibilities and activities may change at any time with or without notice. Required Qualifications: PhD in immunology, biochemistry or a related field. Experience with standard molecular biology techniques
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of Position Temporary Position Time Status Full-Time Required Education PhD or PsyD Required Related Experience Completion of APA-Accredited Internship Required License/Registration/Certification None Physical
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and machine learning with density functional theory, or other similarly relevant computational methods, to advance understanding of materials design predictions for 2D and 3D systems with electronic and
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of machine learning and advanced molecular dynamics techniques for molecular simulations and to study Nucleic acids structures and their interactions. For more information, please visit https://nyuad.nyu.edu
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effectively with investigators, laboratory personnel, clinicians, and interdisciplinary research partners. What You'll Bring: PhD in a relevant scientific discipline such as Cell Biology, Molecular Biology
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statistical and machine learning methods applied to large claims and electronic health record databases and multimodal data, including physiological waveforms and medical imaging. We foster a collaborative and