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machine learning algorithms for extracting movement and contextual data from multimodal sources including videos, biosensor recordings, and text. Job Description Job Responsibilities Perform data annotation
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from specialized human movement datasets. Assist in identifying available datasets, performing data annotation, developing and applying machine learning algorithms for extracting movement and contextual
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experience. A demonstrated history of leading and participating in collaborative research projects in cryptography and computer security. Expertise in the design and assessment of new protocols and algorithms
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of peptide design and chemistry, computational methods (machine learning, deep learning, genetic algorithms), microbiology, synthetic biology, and related areas essential to developing novel
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 14-May-25 Location: Philadelphia, Pennsylvania Type: Full-time Categories: Academic/Faculty Computer/Information
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experts, and translate them into efficient and maintainable code. This requires knowledge in (or the ability to learn) macroeconomics, a good foundation in (optimization) algorithms, and the ability
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(Division of Biostatistics) Job Profile Title Job Description Summary The Penn Center for Causal Inference (CCI), within the Department of Biostatistics, Epidemiology and Informatics, is seeking a full-time
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computational infrastructure to scale and integrate immunological knowledge into the electronic medical record. I3H is seeking a skilled Data Analyst to join our multi-disciplinary team. Under the supervision