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computer vision methods and their applications Your Profile: Excellent Master’s degree in engineering, computer science or mathematics (or a related field), with a focus on computer vision, image processing
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host chromatin pathways (DFG Research Unit DEEP-DV, FOR5200). The group uses experimental infection systems, an array of high-throughput sequencing methods, and single-molecule live-cell imaging
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for this position. Skills: Computed Tomography (CT) Image Processing, Magnetic Resonance Imaging (MRI) Driver's License: A driver's license is not required for this position. More About This Job WashU seeks highly
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achievement; building community; and cultivating resilience. College of Engineering Department of Computer Engineering and Computer Science (CECS) Required Qualifications: Ph.D. in Computer Science, Computer
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motivated team player with strong written and verbal communication skills, basic computer and data-management proficiency, excellent interpersonal skills, and the capacity to work independently under guidance
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University of California, San Francisco | San Francisco, California | United States | about 1 month ago
Radiology - MRI Full Time 88229BR Job Summary The Department of Radiology is a 24-hour, seven day a week operation providing imaging services for adult and pediatric inpatients and outpatients
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been a National Marrow Donor Program/Be The Match transplant center since 2001, and is authorized to treat patients with all commercially available CAR-T cell products. The program is one of only two in
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been a National Marrow Donor Program/Be The Match transplant center since 2001, and is authorized to treat patients with all commercially available CAR-T cell products. The program is one of only two in
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) within the scope of the project “HUMYK - Autonomous Community Composter", with operation code CENTRO2030-FEDER-01180100 (Nº 17322), co-financed by Centro 2030 Regional Program, Portugal 2030 and the
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Segel lab at Harvard’s Department of Stem Cell and Regenerative Biology (https://hscrb.harvard.edu/labs/segel-lab/ ) explores the biology of aging through the lens of developmental timing and lifespan