757 computer-programmer-"https:"-"UCL" "https:" "https:" "Computer Vision Center" positions at Cornell University
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the option to work remotely 1-2 days per week. To apply: Please apply via Academic Jobs Online (https://academicjobsonline.org/ajo/jobs/31803 ">https://academicjobsonline.org/ajo/jobs/31803 ). Qualified
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. To apply: Please apply via Academic Jobs Online https://academicjobsonline.org/ajo/jobs/30939 " style="font-weight: normal;">https://academicjobsonline.org/ajo/jobs/30939 Qualified candidates should submit
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, industry-relevant transportation problems or emerging analytical methods in the field. The successful candidate will strengthen Cornell’s transportation program through innovative teaching, applied research
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the extent education is relevant to the position. Academic Discipline (faculty pay ranges reflects 9-month annual salary) Unique applicable skills. Application Materials Required: Further Info: https
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and/or service of various food items at a variety of stations to ensure timeliness and customer satisfaction Assist in processing sales transactions including cash, check, credit, and meal plan card
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employees working for the Association advertising this career opportunity) must apply online via his/her Workday account, which may be accessed here: http://workday.cornell.edu/ . Please contact the Franklin
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. For consideration, please click the link below to apply and submit all required application materials (see list below): https://academicjobsonline.org/ajo/jobs/31185 ">https://academicjobsonline.org/ajo/jobs/31185
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, particularly of non-model organisms Computer programming and experience with the solution of numerical problems, machine vision, and analysis of next-generation sequencing data High-throughput screening
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livestock sector. The role supports economic viability, herdsman ship, animal health, product quality, and operational excellence. Program areas include dairy, beef, small ruminants, poultry, equine
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Bioinformatics, Computational Biology, Genomics, Computer Science, or a related field. Strong programming skills and familiarity with Omics data analysis and integration. Track record of peer-reviewed publications