Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- France
- United Kingdom
- Germany
- Sweden
- Netherlands
- Portugal
- Belgium
- Norway
- Finland
- Switzerland
- Czech
- Denmark
- Canada
- Spain
- Austria
- Australia
- Estonia
- Poland
- Hong Kong
- Singapore
- Morocco
- United Arab Emirates
- Ireland
- Italy
- Luxembourg
- Japan
- Brazil
- Iceland
- India
- Slovakia
- Slovenia
- 22 more »
- « less
-
Program
-
Field
-
programme Is the Job related to staff position within a Research Infrastructure? No Offer Description CRSA - Postdoctoral research fellowship: “Developing Advanced Weather Prediction Models for Agricultural
-
-85,800/year Type of Position Staff Position Time Status Full-Time Required Education PhD Click here for more information about equivalencies: https://hr.uky.edu/employment/working-uk/equivalencies Required
-
phylogenetics and address long-standing questions about disseminated tumor cell origins and fates. The candidate would join the laboratory of Cyrus Ghajar (https://research.fredhutch.org/ghajar/en.html ), which
-
capable of evaluating outdoor thermal comfort (OTC) under heterogeneous conditions. Metrics such as PET and UTCI have considerably improved the capacity to capture the spatial variability of outdoor thermal
-
spatiales et temporelles appropriées, et la garantie de l'unicité des solutions. La recherche pourra être menée par complexité croissante, en commençant par des domaines 1D, puis en travaillant avecà des
-
at the University of Michigan Medical School. Using a combination of in vitro and in vivo modeling, analyses of clinical brain tumors samples and multi-omics (including single cell and spatial transcriptomics) our
-
implement end-to-end data pipelines, develop AI models to extract structured intelligence from unstructured social media data, build spatial risk models, and translate these outputs into a secure, user-facing
-
colleagues on multi‑omics data integration and analysis. You will also work with AI experts to help implement predictive models that improve guide design and functional genomics workflows. You will join an
-
colleagues on multi‑omics data integration and analysis. You will also work with AI experts to help implement predictive models that improve guide design and functional genomics workflows. You will join an
-
the production of spatially granular and engineering driven representations of model results. Experience working across disciplines in multi-institution and multi-stakeholder collaborations is desirable