Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- France
- Sweden
- United Kingdom
- Germany
- Portugal
- Belgium
- Netherlands
- Czech
- Switzerland
- Norway
- Spain
- Poland
- Finland
- Australia
- Canada
- Austria
- Denmark
- Hong Kong
- Italy
- Morocco
- Luxembourg
- Singapore
- Estonia
- Japan
- United Arab Emirates
- Brazil
- India
- Ireland
- Slovenia
- Iceland
- Slovakia
- 22 more »
- « less
-
Program
-
Field
-
invites applications for a cohort of up to three outstanding Postdoctoral Research Fellows to join a dynamic, interdisciplinary team undertaking a spatially explicit, contextually informed, and justice
-
of crop-switching, environmental resilience, and agrifood sustainability. The candidate will develop and apply spatial analysis, remote sensing, and modeling to evaluate the technical, environmental, and
-
. Field campaigns, however, are limited in time and geographic coverage. Satellite observations are thus critical to extend measurements over larger spatial and temporal scales. Yet, satellite retrievals
-
expression analysis (qRT-PCR), Western blotting, and ELISA, along with a demonstrated publication record in omics-based analyses such as RNA-seq and single-cell genomics; experience with spatial
-
TLDR: Build the model backbone for the next era of AI-powered spatial biology. Please include a cover letter with your application detailing your qualifications and experience for this position
-
of Chicago. For more information visit https://bfi.uchicago.edu and https://bfi.uchicago.edu/info-for/prep/. Job Summary The Research Professional will report to an BFI-affiliated faculty member at
-
Pytorch and/or JAX deep learning models. Experience in single-cell or spatial omics data analysis. What we offer Embedding within a computational team, with extensive experience in computational biology and
-
mentor and supervise trainees as part of a productive and innovative research team. Work schedule: 100% FTE Monday – Friday Day shift What you’ll contribute: Research Design, Execution, & Analysis Design
-
Pytorch and/or JAX deep learning models. Experience in single-cell or spatial omics data analysis. What we offer Embedding within a computational team, with extensive experience in computational biology and
-
developing approaches to leverage spatial data to better understand evolutionary histories. More information about the lab and their work can be found by visiting https://federlab.github.io/ About the