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predictive analytics Human factors, behavior science, and patient-centered design Advanced computing and scalable algorithms Decision science and learning health systems design Qualifications Required: Ph.D
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motivated to move the area of enzyme engineering to the next level, while having a positive impact on our world. When joining our team, you get the opportunity to use the latest algorithms in machine learning
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, if is a master enrolled in a non-academic degree course, or of 4 (four) years if enrolled in a Doctorate; Knowledge in: Digital and energy transition Information models and optimization algorithms
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well as 5+ years of financial industry experience developing quantitative trading models and algorithms, particularly in crypto markets and cryptocurrencies. For more information about the QFC program in MIDS
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Cancer Institute (labs.dana-farber.org/collins-genomics) seeks a motivated Computational Biologist to advance research at the intersection of germline genetics, cancer genomics, and precision cancer
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School. Responsibilities will span all stages of research, including collecting data of in both tabular and spatial formats, developing algorithms that clean and organize data, conducting statistical
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onto local storage for substantial cost savings for the lab. After this initial project, with mentoring from the Principal Investigator, the computational scientist will oversee and develop algorithms
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and simulation modeling • AI/ML, foundation models, causal inference, and predictive analytics • Human factors, behavior science, and patient-centered design • Advanced computing and scalable algorithms
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for mobility prediction and optimization • Graph algorithms, network science • Spatiotemporal modeling • Operational research for mobility and infrastructure • Real-World Practice • Prior collaboration with city
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, inaccessible to standard techniques. To probe such regimes requires the development of fast and scalable algorithms for many-component systems, and of coarse-grained models that can be analyzed and simulated