126 algorithm-development-"The-University-of-Edinburgh" positions at Drexel University
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Data Warehouse Developer Apply now Job no: 504085 Work type: Full-Time Location: University City - Philadelphia, PA Categories: Drexel University Job Summary The Data Warehouse Developer will
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locomotion. Apply machine learning and machine vision algorithms to track body and limb movements. Use biomechanical modeling to analyze walking data and fit locomotion models. Operate a force sensor to
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funded grants. Lead the development of plans to complete research products, including communication and dissemination products (e.g., plans for literature reviews or presentations) following the scientific
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of neuroHIV; for example: Oversee development of community resources regarding neuroHIV and brain health Oversee development of researcher resources regarding community engagement Assist with dissemination
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. Develop expertise in working with at risk medical students. Create, deliver, and assess a robust program of small group discussions and workshops on a variety of study topics that address students’ needs
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development, grant applications, and intervention considerations. The research assistant will work closely with project PI to develop materials for a systematic review on cognitive outcomes and determinants
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innovation and development in technology and the life sciences. It’s a vibrant part of the city with a growing number of restaurants, businesses, and wellness spaces. Essential Functions Promotes excellence in
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. The Specialist will work closely with internal stakeholders to understand needs, develop sourcing strategies, and ensure timely, compliant, and cost-effective procurement outcomes. This position requires strong
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further development and potential implementation of a pilot study. The research assistant will assist with the development and pilot testing of GANAS workshop and curriculum materials. The research
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and synaptic development, and brain cancer metastasis. We use a combination of molecular genetics, electrophysiology, and imaging-based (live-cell and in vivo) approaches. Candidates with previous