180 genetic-algorithm-computer "Integreat Norwegian Centre for Knowledge driven Machine Learning" PhD positions in United States
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genetics, and may include expertise in one or more of the following: computational biology, statistical genetics, population genetics, biomedical informatics, complex genetics, clinical genetics
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Sciences Internal Number: 6462345 Research Assistant Professor Neurodegeneration Human Genetics Location: Philadelphia, PA Open Date: Dec 21, 2023 Deadline: Dec 21, 2025 at 11:59 PM Eastern Time The
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participate in the Penn Medicine Biobank/Undiagnosed disease program. The Division of Translational Medicine and Human Genetics comprises clinical and research faculty with diverse investigative interest and
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A1096 Working Title PhD - Research Assistant - Computer Science Location Edinburg, Texas College College of Engineering and Computer Science Department College of Engineering and Computer
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Pay Grade/Pay Range: Minimum: $62,300 - Midpoint: $81,000 (Salaried E10) Department/Organization: 214251 - Electrical and Computer Eng Normal Work Schedule: Monday - Friday 8:00am to 5:00pm Job
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to design and implement machine learning techniques and algorithms. * Demonstrated expertise in the Linux computing environment. * Excellent planning, organization and execution skills. * Positive attitude
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degreed program 2. Be in good academic standing 3. Be registered full-time for the respective semester (nine semester credit hours during the fall semester, nine semester credit hours during spring semester
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Computing (e.g., memristor modeling/simulation/manufacturing) and Edge AI related areas (e.g., AI algorithms, AI accelerator, VLSI). Background Investigation Statement: Prior to hiring, the final candidate(s
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, Pennsylvania 19004, United States of America [map ] Subject Areas: Industrial Engineering Physics Economics Statistics Mathematics (more...) Management Science & Engineering Computer Science and Electrical
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scalable deployment Collaborate with researchers, developers, and traders to improve existing models and explore new algorithmic approaches Design and run experiments using the latest ML tools and frameworks