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operational excellence and engagement with the communities where we live and work. ORNL invites you to apply to its Distinguished Staff Fellowship (DSF) Program. This program recognizes outstanding early-career
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PhD Research Fellow in applied and computational mathematics Apply for this job See advertisement UiB - Knowledge that shapes society Through robust and close interaction with the world around us
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Medical - Clinical Medical - Research Internal Number: A-167773-11 General Description The Gastrointestinal and Liver Pathology Faculty Assistant Program is an advanced fellowship that provides training in
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algorithm development, data analysis and inference, and image analysis Ability to do original and outstanding research in computational biology, and expertise in computational methods, data analysis, software
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examples of Doctoral and Masters' ). Note: Health Professionals who receive funding through this program to pursue a graduate degree must terminate their award upon completion of the degree. Supplement
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Search over Personal Repositories - Secure and Sovereign”). The post is based at the School of Electronics and Computer Science, Southampton. The project is researching, developing and evaluating
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Memorial Sloan-Kettering Cancer Center | New York City, New York | United States | about 1 month ago
the Cancer Biology & Genetics Program. Learn more about working as a Post-Doctoral at MSK: What distinguishes this opportunity is you will gain access to high-quality facilities, innovative technologies
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The SQUASH Program is a prestigious Marie Skłodowska-Curie COFUND initiative offering 3-year postdoctoral positions in quantum science and technology. This 1st international call invites outstanding
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Job Description Job Alerts Link Apply now Job Title: Research Fellow, Computational Biologist Posting Start Date: 20/05/2025 Job Description: Job Description The focus of Professor Patani’s lab is
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may include but are not limited to: algorithm and software development; application or development of computational or statistical methods; data analysis; modeling; statistics and machine learning