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, predictive modeling, and machine learning concepts. Preferred Education, Experience and Skills: Master’s or PhD in a quantitative field where research and quantitative methods have direct applicability
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discipline. Knowledge of IoT (“Internet of Things”) device management. Interest in data science, machine learning, and advanced data techniques. An interest in the preservation and conservation of cultural
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from the problem identification phase through development of computer programs. Essential Duties 1. Evaluates and analyzes data using accepted statistical and biostatistical techniques. 2. Investigates
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development practitioners or in preparation for a PhD in a related field. The program has a tight-knit, majority international student body with strong foundations in economics and mathematics. The program has
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position with experience in physiologic signal processing (e.g., EEG) and statistical/machine learning methods. The applicant would be joining the lab of Dr. Jennifer A. Kim MD-PhD, which focuses
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Postdoc opportunity: machine learning methods for high-content image screens (Verhaak lab) Description The Verhaak lab is looking to recruit a postdoctoral associate who will help us develop
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findings. Training will encompass the practical application of advanced computational frameworks, including Spark and various machine learning libraries, with a pronounced focus on NLP and graph databases
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research background; 4) excellent data and statistical skills; and 5) experience with digital technology and knowledge of machine learning, artificial intelligence, and advanced statistical modeling strongly
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experience in bulk genomic/transcriptomic analysis (including data pre-processing), single-cell transcriptomic analysis, and machine learning methods. Interested applicants should send a cover letter
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: combining machine learning and mechanistic modeling, multisimulation (interoperation with other tools), high-resolution simulations of subcellular chemical dynamics, and algorithm development (GPUs