Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Sweden
- Portugal
- Germany
- France
- Netherlands
- Spain
- Norway
- Canada
- Australia
- Denmark
- Austria
- Italy
- Singapore
- Belgium
- Poland
- China
- Finland
- United Arab Emirates
- Switzerland
- Czech
- Morocco
- India
- Luxembourg
- Ireland
- Japan
- Hong Kong
- Romania
- Brazil
- Macau
- New Zealand
- Cyprus
- Greece
- Latvia
- South Africa
- Estonia
- Lithuania
- Slovakia
- Bulgaria
- Croatia
- Andorra
- Iceland
- Mexico
- Worldwide
- Kyrgyzstan
- Vietnam
- Europe
- Malta
- Saudi Arabia
- Slovenia
- 41 more »
- « less
-
Program
-
Field
- Computer Science
- Medical Sciences
- Economics
- Biology
- Engineering
- Science
- Business
- Education
- Mathematics
- Psychology
- Materials Science
- Social Sciences
- Chemistry
- Arts and Literature
- Environment
- Humanities
- Law
- Linguistics
- Earth Sciences
- Electrical Engineering
- Sports and Recreation
- Philosophy
- Physics
- Design
- 14 more »
- « less
-
of campus and community resources; knowledge of disability models and theories and inclusive educational design; demonstrated presentation skills; working knowledge of common computer applications (e.g. word
-
Python and/or R. Experience with workflow managers (Nextflow/Snakemake), HPC environments (SLURM, LSF), and containerization (Docker, Singularity/Apptainer) is a plus. Working knowledge of AI/ML models and
-
the Marie Skłodowska-Curie Actions (MSCA) grant on WindConnect project. The project The WindConnect (wind farm control and integration in sector-coupled power systems https://cordis.europa.eu/project/id
-
models of sporadic low-grade glioma and Neurofibromatosis Type 1 (NF1)-related optic pathway glioma to accomplish these goals. We are additionally interested in how environmental exposures affect the non
-
diagnosis, and therapy of diseases like cardiovascular diseases or cancer. Overall, the institute strives to advance precision medicine by combining knowledge from different fields such as biology, chemistry
-
numerical modeling (ocean, sea ice, atmosphere) or in physical model emulation; Knowledge of data assimilation methods (4DVar, EnKF, En4DVar) and their practical implementation; Research experience in machine
-
atmospheric modeling datasets of wildfire smoke pollution, linking smoke pollution exposure to human health outcomes, and analyzing wildfire smoke in the context of other climate-related exposures
-
on poplar, a fast-growing model tree of major economic importance. The thesis will use the CRISPR-Cas technology to edit poplar genomes and combine rapidly favourable alleles to carbon sequestration and water
-
deploying machine learning models and AI systems in production environments, with deep knowledge of contemporary AI frameworks, tools, and best practices. Software Engineering: Excellent software development
-
context. Familiarity with GIS application software, particularly ArcGIS, and experience with GIS data modeling techniques. Knowledge of research methodology, statistical analysis, and survey design