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, evolutionary biology, computer science, physics, applied mathematics, or engineering. Our research integrates mathematical modeling, machine learning, and quantitative experiments to understand and control
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-performance computing. Additional experience in DNA biophysics, machine learning, and optimization is preferred. This job description intends to provide a representative and level of the types of duties and
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of studies of HLA-E-VL9 antibodies in cancer models (in vitro or animals) Other studies on which you and Drs. Haynes and Azoitei agree In addition, you will need to: Present scientific results at meetings and
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computational and data analytical methodology development and implementation; experience in supervised and unsupervised machine learning, low-dimensional models or deep learning models, and willingness to learn
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27710, United States of America [map ] Subject Areas: Biostatistics / Biostatistics and Data Science Data Science / Machine Learning Statistics / Statistics Appl Deadline: none (posted 2025/02/12
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basic research and animal models, preferably rodents. The ideal candidate will have a strong background and experience in the field of neuroscience and behavior in rodent models, such as social behavior
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-analysis project, Bayesian background with experience in hierarchical modelling and mixed effect models is preferred. The second project, knowledge in survival analysis and machine learning is desired