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of sea turtles - Developing innovative machine learning methods to analyze the sounds associated with these behaviors - Automating the processing of audio and visual data to optimize the quantity and
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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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The International Institute of Molecular Mechanisms and Machines Polish Academy of Sciences | Poland | 14 days ago
): - Cover letter, - CV, - 2 Reference contacts (please do not send generic letters, contact details only). Links to the Membrane Machines Laboratory: https://www.membranemachines.com/ https://imol.institute
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The International Institute of Molecular Mechanisms and Machines Polish Academy of Sciences | Poland | 14 days ago
publications, - 2 Reference contacts (please do not send generic letters, contact details only). Links to the Membrane Machines Laboratory: https://www.membranemachines.com/ https://imol.institute/leaders/de
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, what is the required licensure/certification? Registered Nurse licensed in the State of Nebraska Required Computer Applications: Not Applicable Required Other Computer Applications: Required Additional
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preferred licensure/certification?: Preferred Computer Applications: Microsoft Word Preferred Other Computer Applications: SAP Preferred Additional Knowledge, Skills and Abilities: Email to a Friend https
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education and economic development needs. Federally designated as a senior military college, one of the university's signature leadership programs is its 800-member Corps of Cadets on UNG's Dahlonega Campus
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molecular dynamics simulations of modified nucleosomes - analyze the large data set obtained using various analysis tools, from visualization to automation using machine learning tools - perform QM/MM
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Military and Veterans Student Success: The Office of Military and Veteran Student Success, a unit within the Department of Diversity, Equity, and Inclusion is dedicated to providing student veterans
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working at the intersection of machine learning, algorithmic fairness, human-computer interaction, and responsible AI. The project aims to investigate how bias emerges in data pipelines and AI systems