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Fellow may have patient/research subject contact directly relating to and incidental to the original research program. Proof of English proficiency is required for J-1 Short-Term Scholars, Research
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occupying more than 5,000 square metres, including innovations in all that we do An environment encouraging curiosity, innovation and entrepreneurship in all areas Personalized learning programme to foster
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, or computer science, or MD with comparable research experience Considerable experience in computer programming and computational biological applications. A strong background in statistics and biology. Experience
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, ethical research standards, and applicable federal and state regulations ELIGIBILITY REQUIREMENTS Individuals with a PhD degree in computational biology, bioinformatics, data science or a related field are
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candidates (prior association [including guest contracts] of a candidate fellow with the MDC or other German research organization is compatible with application to the program but cannot exceed 12 months
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Fellowship Program supports outstanding early-career scientists and engineers from around the world. Fellows receive funding to pursue independent, cutting-edge research at KAUST for three years. Selection is
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programme designated to attract and empower the world’s brightest early-career researchers. This fellowship supports outstanding scientists who harness Artificial Intelligence (AI) to accelerate breakthroughs
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* Contribute to the supervision of PhD students and junior researchers Your Profile: * PhD in Bioinformatics, Computational Biology, Systems Biology, Biostatistics, or a related field – (Doctoral degree should
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program, providing them with a deep understanding of the field and hands-on experience in informatics research. In addition to the primary informatics and research responsibilities, there is the potential
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programming skills in languages such as Python, MATLAB or R. Familiarity with UNIX/LINUX. High level analytical capability. Ability to communicate complex information clearly. Ability to assess resource