99 computing "https:" "https:" "SAPIENZA UNIVERSITA' DI ROMA" Postdoctoral positions at Cornell University
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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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, computing icequake source parameters, and detecting glaciohydraulic tremor. The ideal candidate will have a Ph.D. in Earth Sciences with a focus on either glaciology or seismology, demonstrated experience in
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: • Ph.D. in Bioinformatics, Computational Biology, Genomics, Computer Science, or a related field. • Strong programming skills and familiarity with Omics data analysis and integration. • Track record
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This position will not supervise anyone. To apply: Please apply via Academic Jobs Online ( https://academicjobsonline.org/ajo/jobs/31628 https://academicjobsonline.org/ajo/jobs/31628 ">). Qualified candidates
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Deadline: none (posted 2026/01/21 05:00 AM, updated 2026/01/20) Position Description: Apply Position Description Postdoctoral Associate in large-scale computing for water-energy systems Dr. Galelli’s
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supervision and training of undergraduate students, graduate students, and technical staff involved in laboratory, greenhouse, field, and computational research. The Postdoctoral Associate contributes
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expertise with game theory is a plus but not required. Ideally this person would have a Ph.D. in operations research, computer science, applied math or a related field. The focus of this person’s research
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, including health insurance. Position start date is negotiable between October 16, 2025, and January 2, 2026. To apply: Please apply via Academic Jobs Online https://academicjobsonline.org/ajo/jobs/30767
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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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-LHC detector upgrades. The successful candidate is expected to engage actively in CMS measurements as well as the smart pixels program (https://fastmachinelearning.org/smart-pixels/ ). A PhD in