413 computer-programmer-"https:"-"CNR" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" uni jobs at Nature Careers in United States
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must hold a MS or PhD degree with a strong background and expertise in genomics, computational biology, metabolism research, and/or cancer biology. The ideal candidate will exhibit independence
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to requests, confirms understanding of routine needs, and provides accurate answers. Shares information within team as directed. Manages own time well to plan work and meet daily task needs. Executes routine
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Radiology, Nuclear Medicine, Intelligent Imaging Informatics (I3), Research, and Physics. The Neuroradiology section focuses primarily on pediatric neuro-oncologic imaging and also serves cancer survivor
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a plan for significant expansion, we seek creative applicants with bold vision and demonstrated excellence in immunology research, including (but not limited to) the following areas: 1) fundamental
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as assigned to meet the goals and objectives of the department and the institution. Maintain regular and predictable attendance. Preferred Qualifications: PhD in neuroscience, biology, computational
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transdisciplinary research, including policy and governance analyses and employing qualitative, co-creative methods (e.g., expert interviews and dialogue workshops) Plan, organise, and conduct the research work
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and techniques Hospitalization insurance Pension plan If you come to the lab by public transport; full reimbursement If you come to the lab by bike; bike allowance of €0.30/km Eco
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preferred. Special Skills, Knowledge and Abilities: Demonstrates in-depth knowledge of policies, procedures, regulatory requirements and protocols related to legal operations to plan and execute processes
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Job Description The Senior Pathology Clinical Informaticist role will implement, optimize, and support pathology informatics systems and technologies. This position independently analyzes pathology
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team, your expertise in AI and other cognitive computing methodologies, such as but not limited to machine learning (ML), large language models (LLMs), small language models (SLMs), natural