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vision technologies needed to behaviorally phenotype cattle. Major duties include: Literature review. Study design. Carry out animal studies including administering treatments, assisting with research
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of agentic behaviour and publishing high-impact research. Candidates should possess a PhD (or be near completion) in PhD in Computer Science, AI, Security, or a related field. You will have a Strong background
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Oxford’s Department of Orthopaedics (NDORMS) as well as collaborators in Bristol and Cardiff. You should have a PhD/DPhil (or be near completion) in robotics, computer vision, machine learning or a closely
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, located in Brooklyn, has the distinct history of having been known previously as Brooklyn Poly. The position is open to PhDs with background in robotics, controls, AI, and/or computer vision and hardware
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grants, and develop their ideas further towards academic independence. Qualifications PhD in Mechanical Engineering, Biomedical Engineering, Robotics, or similar. Position Type Research Additional
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of Medicine Department:Inst for Vision Research Salary Salary:$62,232.00 to Commensurate Position Details Full/Part Time Status:Full Time Percent Time:100% Position Description: Title: Postdoctoral Scholar
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: Appropriate PhD in related field Knowledge, Skills, and Abilities: Familiarity with appropriate laboratory and technical equipment; ability to effectively use a computer and applicable software to create data
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computing AI on High-Performance Computing (HPC) cluster. Examples on areas of research interest include but are not limited to: Vision transformers. AI foundation models. Computing and energy-efficient
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. Position Responsibilities: Develop and implement computational and systems biology approaches for network and hidden driver analysis from spatial omics and single-cell omics data. Collaborate with
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, instrumentation, modeling, and data science Position Requirements Recent or soon-to-be-completed PhD (within the last 0-5 years) in field(s) of materials science, physics, computational science, or a related field