76 computer-programmer-"https:"-"UCL" "https:" "https:" "inserm" Postdoctoral positions at Cornell University
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alleviation, support for the elderly and disadvantaged children and youth, public health, and human rights. The postdoctoral program is designed to provide support through collaborations with faculty and to
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submit all required application materials (see list below): https://academicjobsonline.org/ajo/jobs/31185 Review of applicants will begin as soon as December 1, 2025, and will continue until the position
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to poverty alleviation, support for the elderly and disadvantaged children and youth, public health, and human rights. The postdoctoral program is designed to provide support through collaborations with
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date: Anticipated start of February 1, 2026. To apply: Please apply via Academic Jobs Online (https://academicjobsonline.org/ajo/jobs/30970 ). Qualified candidates should submit a short cover letter
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responsibilities with this position. To apply: Please apply via Academic Jobs Online https://academicjobsonline.org/ajo/jobs/31414 . Qualified candidates should submit a short cover letter, curriculum vitae, and
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by a generous gift from Joan and Irwin Jacobs, will join the cadre of trainees at the Center including those supported by the NIH T32 AIPrN training program. The program is designed to train the next
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computational methods, proficiency in R or other applicable software packages, ability to develop scripts for R and Echoview, and statistical modeling. Interest in fisheries, fisheries acoustics, aquatic ecology
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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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postdoctoral program in the College of Arts and Sciences at Cornell. (Please note: the Klarman Fellowship is administrated separately, and a further application will be required.) Please submit a CV, publication
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, limnology or related fields. Strong quantitative background: ability to deal with large datasets using computational methods, proficiency in R or other applicable software packages, ability to develop scripts