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Field
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optimization under uncertainty, constrained query evaluation, or the design of efficient, explainable, and scalable query engines. The successful applicant will help design and build novel systems and algorithms
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applications * Building data processing pipelines for standardizing and integrating heterogenous health data * Implementing advanced machine learning algorithms and generating testing results * Customizing user
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algorithms for image analysis to facilitate and optimize early disease screening, diagnosis, and treatment. Ideal candidates should possess a M.S. or PhD (or equivalent) in computer science, mathematics
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outcomes. The individual will be expected to develop stimulation strategies and testing algorithms, write code, and develop software. They will do extensive validation and testing, under the supervision
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work environment. We are seeking a part-time Research Assistant in computer vision and machine learning for human behavior analysis and modeling. The successful candidate will investigate new algorithms
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) to provide mental health screening, referrals, interventions. Develops brief mental health assessments and triage algorithms to be implemented by CHW in community settings. Works collaboratively with, and
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++, proficiency with ROS2, experience with GitHub, and (Required) experience with the design of machine learning, perception and/or control algorithms for robots (Required) Mechatronics design -- experience with
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fieldCourse work or training in computer science algorithms, object-oriented programming, and foundational mathematics, and languages such as Python, Java, SQL, and CANDOne (1) academic year of academic
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development in mathematical modeling, simulation and analysis, numerical algorithm design, computer system architecture, quantum information science, quantum computing, computational science, computer
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, data assimilation, surrogate model design, and machine learning algorithms. The position comes with a travel allowance and access to advanced computing resources. The MMD group is responsible