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are not limited to): Machine learning and artificial intelligence applied to astronomical data Advanced statistical and probabilistic inference methods Scalable algorithms for the analysis of large
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. The discipline of Mathematics has research strengths in Mathematical Biology and Computational Biophysics, developing a wide range of mathematical, physical and computational tools and techniques
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, Statistics, computational biology, related disciplines or equivalent. They should be self-driven, highly motivated, creative with excellent communication skills in written and spoken English and Cantonese
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fixed-term position, eligible for renewal based on grant funding. Northeastern University's Institute for Experiential AI has established a position for a ML Performance Engineer, Computational Biology
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: OBJECTIVES | FUNCTIONS Develop algorithms for pre-processing of spectra, by analysing user-uploaded files to identify their origin, confirm spectra presence, and assess spectrum quality. Implement novel AI
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quantum dots. In particular, based on our recent result in small arrays, we aim at exploiting coherent control of spin qubit in larger arrays to perform quantum simulation or algorithm. Therefore
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visualizations and reports, and contribute to the development of predictive models and algorithms. The Data Scientist will be responsible for developing and adapting data collection and analysis methods
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on stability. Testing the model in standard stirred tank apparatus Refining the model to allow predictability between different types of apparatus. Defining an algorithm for testing enzyme stability
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Location: Cambridge, Massachusetts 02142, United States of America [map ] Subject Areas: Machine Learning Artificial Intelligence Biology Appl Deadline: (posted 2025/09/30, listed until 2026/03/30) Position
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describing the effect of conditions on stability. Testing the model in standard stirred tank apparatus Refining the model to allow predictability between different types of apparatus. Defining an algorithm