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Field
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from sparse spatial inputs Integration of foundation or multimodal models into geospatial production workflows Minimum Qualifications: • Ph.D. in Geomatics, Spatial Computing, Computer Science, or a
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demonstrate that you meet the following essential criteria: Degree in computer science, bioinformatics, data engineering, or a related discipline. Have or about to obtain* a relevant PhD (*must be
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and/or computational method development. Certificates/Credentials/Licenses Computer Skills Academic and research software relevant to job duties (Linux operating system, Gaussian/ ORCA , AMBER /OpenMM
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related field Computer Skills Electrophysiology recording software, Neuronsimulation, Microsoft Office, statistical software Supervisory Responsibilities No Required operation of university owned
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and/or computational method development. Certificates/Credentials/Licenses Computer Skills Academic and research software relevant to job duties (Linux operating system, Gaussian/ ORCA , AMBER /OpenMM
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interested in advancing management strategies and disease prevention and control in dairy cattle populations. Applicants with expertise in complementary disciplines (e.g., computer vision, AI
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(foreign equivalent acceptable) in electrical engineering, computer science, engineering, or related area. - A team player who is willing to train junior scientists in the lab. - Expertise in robotics
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Posting Number R260058 Posting Link https://www.ubjobs.buffalo.edu/postings/61964 Employer Research Foundation Position Type RF Professional Job Type Full-Time Appointment Term Salary Grade E.89
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interdisciplinary professional partners. Other duties as assigned. REQUIREMENTS: REQUIRED: PhD in in computer vision, machine learning, artificial intelligence, or a closely related field. Strong
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interdisciplinary professional partners. Other duties as assigned. REQUIREMENTS: REQUIRED: PhD in in computer vision, machine learning, artificial intelligence, or a closely related field. Strong