776 machine-learning-"https:" "https:" "https:" "https:" "https:" "UCL" positions at Cornell University
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the “Ithaca is Gorges” lifestyle. The University seeks to meet the needs of dual career couples and has a Dual Career program to assist with dual career searches. For more information, go to: https
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digital assets, one billion bird sightings, and leverage innovative big data analysis tools and machine learning to produce web applications and services to empower a global community of bird and nature
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their biophysical and sociocultural benefits to cities and landscapes. The successful candidate will have expertise in and instruct courses related to any of the following areas: the design of urban environments
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oversight and mentorship to undergraduate and graduate students. To apply: Please apply via Academic Jobs Online https://academicjobsonline.org/ajo/jobs/29926 Qualified candidates should submit a short cover
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% Computer research 15% Field Research 7% Writing 15% Requirements Required: - PhD in Plant Biology, Microbiology, Entomology, Plant Pathology, or a related field. - Experience working with plants as part of
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Assisted Design (CAD) and advanced skills in mechanical maintenance, installation, and repair techniques Proficiency with standard hand and power tools, diagnostic equipment, machine shop, and material
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Vantage Orian® MRI. - A newly installed Siemens NAEOTOM Alpha® photon-counting CT equipped for both small and large animal exams. - A planar gamma camera linked to a MIE computer, isolation facilities
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crane. The successful candidate will build reproducible machine learning pipelines, integrate detections into spatial ecological models, and generate conservation-relevant outputs for regional partners
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The successful candidate will participate in research projects, aid in lab maintenance, and process data. The lab concentration is on antibiotic activity and resistance. A willingness to learn
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instruction to students on the use of design tools and programs in coordination with course requirements and learning outcomes as determined by the professorial faculty. Review CAD and 3D drawings to ensure