909 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Ulster-University" positions at Nature Careers
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Job Description The Clinical Research Associate I OR II-RN is responsible for performing data abstraction, collection, and entry to support clinical research. Develops, maintains, and/or monitors
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address the most urgent clinical needs. Research efforts are frequently shaped by the availability of data rather than by the relevance of the underlying medical problem. Medical Imaging AGI’s Last Exam
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(e.g. RNAi, CRISPR/Cas9, small-molecules). In this context, we also develop new computational tools for automated analysis and data visualization. These include algorithms and software applications
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of technology which integrates robotics, computer vision, and data infrastructure to enable scalable, reproducible and data rich transformation platforms, supporting the team with subject matter expertise
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information For further information, please contact: Professor Torben Heick Jensen, thj@mbg.au.dk, phone +45 60202705 Application procedure Shortlisting is used. This means that after the deadline
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at the Department of Electrical and Computer Engineering, Aarhus University, where we are advancing communication-efficient and distributed foundation model inference across the computing continuum
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, plant transformation, plant breeding, computer vision assisted automated phenotyping, machine learning and AI. The role will require working with other institutional stakeholders to scope, design, equip
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, and mouse models of disease Computational biology and data science Functional genomics Immunology JAX faculty enjoy distinct advantages including: A diverse and collaborative environment
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SJCRH Be the force behind the cures. From analyzing complex biomedical data in pediatric cancer to creating innovative technologies and computational tools, your work at St. Jude can directly impact
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Job Description The Staff Scientific Computing Engineer advances data analysis projects by developing hardware/software solutions and providing technical leadership for critical scientific computing