72 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" Postdoctoral positions at Cornell University
Sort by
Refine Your Search
-
catchment hydrology, remote sensing, or climate impact assessments. Candidates with interdisciplinary backgrounds are welcome, but strong data-analytics skills and solid knowledge of process-based numerical
-
plant tissues, perform DNA extractions and metabarcoding library preparation, and analyze microbiome data. The candidate will also perform quantitative trait loci (QTL) analysis and is expected
-
Dr. Joseph Amsili, Director of Cornell’s Soil Health Program. The ideal candidate will possess a PhD in economics, agricultural and resource economics, data science or closely related field, with
-
hydroacoustics surveys. The individual will use available and new data collected with active acoustics (sonar) in the Laurentian Great Lakes. Hydroacoustics is used worldwide in both marine and freshwater
-
of the experiment, from data analysis to detector operations and HL-LHC detector upgrades. The successful candidate is expected to engage actively in analysis of CMS data and will have considerable freedom in
-
research in genomics, whole-genome and exome sequencing, single-cell RNA, miRNomics, spatial transcriptomics, and mass spectrometry data. The successful candidate will work on two funded projects to identify
-
Tuition Assistance Program. All applications should be submitted via Academic Jobs Online at https://academicjobsonline.org/ajo/jobs/31530 . A complete application will include the following material
-
apply: Application materials must be submitted on-line through AcademicJobsOnline at https://academicjobsonline.org/ajo/jobs/30294 Through this website, applicants are to submit a curriculum vitae
-
field and lab experiments Data analysis and writing: 30% • Translate statistical data and apply results • Publish research results in peer reviewed publications Undergraduate mentoring: 10% • Train
-
are welcome, but strong data-analytics skills and solid knowledge of process-based numerical modelling tools are required. Robust modelling and programming abilities (e.g., Python) are essential prerequisites