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Field
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Bachelor’s Degree in Computer Science, Analytics, or a related field preferred Minimum of 5+ years of experience in developing or deploying AI/ML solutions Proficiency in SQL and Python programming required
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transmission methods (wired or wireless) will be optimised for robust data capture in natural sleep environments. AI-Driven Analysis: Develop advanced AI algorithms to analyse the collected sensor data, aiming
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enable the development of fault-tolerant quantum computing hardware and quantum algorithms that solve life-science-relevant chemical and biological problems. Within NQCP we are currently pursuing several
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professional image over the phone and when representing their program. Work Performed Scheduling First point of contact for patients, referring providers and care teams to coordinate oncology care. Oversee
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start the development of a project. Develop cutting edge machine learning algorithms for various parts of the online system including perception, planning, and forecasting Identify data sets needed
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Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met. Undertake these responsibilities in the project: Collect requirement and conduct development of algorithm
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of influence: As a University Assistant (Predoc) you will be part of the Computational Communication Science Lab (CCL), an interdisciplinary research network under the direction of Prof. Dr. Annie Waldherr and
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and accurate registration of ultrasound scans of 3D-printed human skulls to MRI/CT head scans. The research associate will develop anthropomorphic head phantoms and algorithms for fast and accurate
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Bioinformatician at the intermediate or senior level. The Breuss laboratory is focused on employing and developing statistical machine learning, bioinformatic algorithms, and related approaches for the detection
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with a background in computational biology/bioinformatics who thrives in collaborative research. For more information, please visit the following link: https://www.bcm.edu/people-search/qian-zhu-119781