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learning-based computer vision algorithms and software for object detection, classification, and segmentation. Key Responsibilities Participate in and manage the research project together with the PI, Co-PI
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Article 22 bis of Law 240/2010 - Department of Computer Science - duration 12 months - expiration date 11th April 2026 at 1 pm Where to apply Website http://www.unipi.it Requirements Additional Information
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Science Programs, and MS in Computer and Information Science (https://cse.aua.am/ ) invite applications for a full-time faculty position in Machine Learning at the rank of Assistant Professor, starting in
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 19 days ago
data analysis methods to study biological memory circuits and their applications to machine learning. Building on recent work from the Fiete Lab, the role focuses on identifying principles of biological
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) Focus on Microbiome Data Science and Explainable Machine Learning Core research themes We are looking for motivated and skilled students to join our research team in the field of plant microbiome data
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to reduce the cost of clean hydrogen to $1/kg by 2031. The project proposes to address key scientific challenges by using molecular simulations (reactive force fields like ReaxFF and machine learning
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Employer https://main.hercjobs.org/jobs/22174438/assistant-associate-full-project-scientist-machine-learning-data-analytics-advanced-bioimaging-center-department-of-molecular-and-cell-biology Return
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identity and expression, genetic information, HIV/AIDS status, marital status, military status, national origin, political affiliation, pregnancy, race, religion, sex, sexual orientation, protected veteran
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/AIDS status, marital status, military status, national origin, political affiliation, pregnancy, race, religion, sex, sexual orientation, protected veteran status, or any other legally protected
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, gender identity and expression, genetic information, HIV/AIDS status, marital status, military status, national origin, political affiliation, pregnancy, race, religion, sex, sexual orientation, protected