Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- France
- United Kingdom
- Sweden
- Germany
- Netherlands
- Portugal
- Belgium
- Norway
- Czech
- Switzerland
- Spain
- Canada
- Denmark
- Australia
- Finland
- Austria
- Singapore
- Hong Kong
- Poland
- Estonia
- United Arab Emirates
- Italy
- Japan
- Luxembourg
- Ireland
- Romania
- Brazil
- China
- Cyprus
- Lithuania
- Macau
- Morocco
- Slovakia
- Taiwan
- Worldwide
- 26 more »
- « less
-
Program
-
Field
- Computer Science
- Biology
- Medical Sciences
- Economics
- Science
- Engineering
- Mathematics
- Earth Sciences
- Social Sciences
- Environment
- Arts and Literature
- Humanities
- Materials Science
- Business
- Design
- Education
- Electrical Engineering
- Linguistics
- Chemistry
- Sports and Recreation
- Law
- Physics
- Psychology
- 13 more »
- « less
-
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
-
will lead research at the intersection of crop-switching, environmental resilience, and agrifood sustainability. The candidate will develop and apply spatial analysis, remote sensing, and modeling
-
process models from the field of spatial statistics to model clustered patterns across the landscape, and develop methods for estimating plant population size and/or change. Qualifications: Requirements
-
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
-
Python, PyTorch, and Linux/command line Familiarity with LLM in-context learning and prompt engineering Basic understanding of modern LLM models, ecosystems, and pipelines, including retrieval-augmented
-
regional and political geographies in a globalized world at various spatial scales, from local to global. It addresses topics such as (multi-scalar) governance, state geography, nationalism, identities
-
innovation (Track B). Note: Digital and commercial innovation should include emerging technologies (e.g., artificial intelligence, spatial computing). “Responsible innovation” is to be defined by the candidate
-
related fields to apply for this exciting opportunity in the Brown Group in collaboration with EDF UK to develop skills in agent based modelling spatial-analysis, optimisation and economic analysis, as
-
they continue to investigate. Approaches include genetics, spatial genomics, single-molecule biophysics, super-resolution imaging, computational modeling, and structural studies including X-ray
-
(see https://www.anthropic.com/news/anthropic-partners-with-allen-institute-and-howard-hughes-medical-institute ). What you’ll do: Research and explore the model design space for vision foundation models