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comparative pangenomics, leveraging machine learning methods, statistical analysis and efficient algorithm and data structures ( https://CGRlab.github.io/research/ ). About the research project We are open
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methods. Analyse large-scale MRI datasets and evaluate algorithm performance. Qualifications & Skills Education: PhD degree in Computer Science, Artificial Intelligence, Biomedical Engineering, Medical
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Natural Science and the College of Engineering. CMSE centers around computational approaches, encompassing algorithm development, high-performance computing, scientific modeling, and data science
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King Abdullah University of Science and Technology | Saudi Arabia, | Saudi Arabia | about 4 hours ago
background in electrochemical, thermal, or mechanical modeling of batteries. Strong coding skills for data analysis, model development, and algorithm implementation. A strong publication record in high
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biology, biomedical data science, or related analytical methodologies is highly desirable. Experience with software development, cloud computing, data engineering, algorithm design, or scalable
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modelling and algorithm development. You may have a track record of successful, high quality, publications in journals (ranked 3 or 4 in the Chartered Association of Business Schools (CABS) Academic
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infer the evolutionary and ecological processes that shape genetic variation. The Postdoctoral Associate will conduct research exploring new inference techniques, applying cutting-edge tools to address
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foundations and applications in evolutionary biology and art history Naomi Feldheim Probability and analysis Gaussian processes, random functions, rare events, harmonic analysis Dan Florentin Convex
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Max Planck Institute of Immunobiology and Epigenetics, Freiburg | Freiburg im Breisgau, Baden-Württemberg | Germany | about 1 month ago
Postdoctoral Position (m/f/d) Scientist Freiburg Developmental and Evolutionary Biology & Genetics Immunobiology and Infection Biology & Medicine Job Offer from September 04, 2026 We are offering a
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rapid, targeted gene evolution while preserving host viability, enabling us to study fundamental evolutionary processes and develop new molecular solutions for problems in the areas of health and