2,732 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions in United States
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presentation/publication of research findings. Candidates with a Biology and Biomedical Science related Master's degree or DVM degree in addition to a PhD are preferred. This position will require attention
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dependent), comprehensive insurance coverage including medical, dental, vision, life insurance, and short and long term disability as well as retirement plan options. UMaine is located in beautiful Central
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preferred. Proficiency in computational tools such as MATLAB, Python, R, or machine learning applications in immunology is desired. Candidates should have a PhD in Chemistry, Chemical Engineering
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. If the applicant has not completed their degree, they will be hired as a predoctoral associate (9545) until their PhD is conferred. Percentage breakdown of duties: 20% Captures and collars coyotes and foxes in urban
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world. To learn more about Georgia Southern's Vision, Mission and Values please click here: https://president.georgiasouthern.edu/performance-excellence/mission-values/ Location Statesboro Campus - Statesboro, GA
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, including parental leave, an employee assistance program, fitness center membership, and the power of your Bucknell ID card To learn more about Bucknell's benefits, click here ! (*Eligibility criteria and
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., transcriptomics, proteomics, metabolomics) and artificial intelligence/machine learning (AI/ML) applications in biomedical research will be considered a strong advantage. Outstanding UA benefits include health
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and analysis pipeline to compute the 3 and 4 point correlation functions of Roman data. Must have PhD in astronomy or physics. This position will be initially awarded for one year, and, contingent upon
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minimum qualifications at the time of hire. PhD in Computer Science, Artificial Intelligence, Human-computer Interaction, Computational Linguistics, Machine learning, Biomedical Informatics, or related
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bioinformatics, and statistical modeling to decode the complex molecular mechanisms that shape human vision. By leveraging high-dimensional data and cutting-edge computational analyses, we aim to uncover