862 professor-computer-"https:"-"https:"-"https:"-"https:"-"https:"-"Dr" positions at Nature Careers
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, or Full Member (equivalent to Professor)], depending on qualifications and experience. We are seeking exceptional candidates from diverse fields of statistical research. However, we are incredibly
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Call for applications We are pleased to announce the call for the second cohort of our Graduate Programme RNAmed – Future Leaders in RNA-based Medicine. Applications are invited for 11 PhD
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: The Artificial Intelligence Regulatory Science Program conducts regulatory science research ensuring safe and effective AI/ML-enabled medical devices across rapidly expanding healthcare applications including
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, and immune system markers. The school leverages this data and advanced AI and medical, and computational models to generate insights into disease mechanisms, identifying novel biomarkers and developing
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, transcriptomics, microbiomics, metabolomics, and immune system markers. The school leverages this data and advanced AI and medical, and computational models to generate insights into disease mechanisms, identifying
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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
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Faculty Position — Research Scientist in Cardiology, Cardiac Regeneration and Translational Cardiova
an exceptional research scientist to establish a cutting-edge program addressing fundamental challenges in cardiovascular disease through innovative approaches in regenerative medicine, cardio-oncology, or related
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! Education · PhD in computer science, engineering, applied mathematics, physics, or another STEM discipline. · Demonstrated experience with mathematical and numerical optimization methods
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backgrounds span computer science, engineering, applied math, biophysics and biology, to advance the frontiers of single-molecule research while also implementing focused strategies to work with non-experts
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cloud computing environments Familiarity with genomic databases and resources such as UCSC Genome Browser, gnomAD, and NCBI. Solid foundation in applied biostatistics and statistical interpretation