Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Portugal
- United Kingdom
- Germany
- France
- Netherlands
- Sweden
- Spain
- Belgium
- Poland
- Norway
- Denmark
- Singapore
- Italy
- United Arab Emirates
- Switzerland
- Australia
- Romania
- Morocco
- Finland
- Luxembourg
- Czech
- Austria
- Lithuania
- Macau
- Canada
- China
- Brazil
- Estonia
- Ireland
- Japan
- Croatia
- Greece
- Cyprus
- Taiwan
- Andorra
- Hong Kong
- Israel
- Latvia
- Mexico
- Vietnam
- Worldwide
- Europe
- India
- Malta
- Sao Tome and Principe
- Saudi Arabia
- Slovenia
- 38 more »
- « less
-
Program
-
Field
- Computer Science
- Engineering
- Medical Sciences
- Economics
- Biology
- Science
- Materials Science
- Mathematics
- Business
- Chemistry
- Environment
- Education
- Electrical Engineering
- Earth Sciences
- Arts and Literature
- Psychology
- Law
- Physics
- Humanities
- Social Sciences
- Linguistics
- Philosophy
- Sports and Recreation
- Statistics
- 14 more »
- « less
-
cover letter (maximum 1 page) Curriculum vitae (CV) Names and contact details of two references Copy of PhD degree certificate Union representatives: https://internt.slu.se/min-anstallning/facket
-
questions and pertinent datasets, fitting and assessing models to the acquired data, performing simulations to test model assumptions, interpreting results, managing datasets and code workflows, communication
-
University Work duties: This postdoctoral position is part of the AFLOW consortium supported by the Swedish Energy Agency and focuses on materials modelling of chemical stability in aqueous organic redox flow
-
survey astronomy. Projects range from AI-oriented astrophysics and cosmology, such as simulation-based inference, AI-based data reduction, and AI-based accurate modeling and simulations, to the database
-
on developing a new multi-disorder prediction approach that integrates different sources of information. You work with analytical model development, extensive simulation studies and analysis of existing large
-
of an artificial intelligence (AI) solution for the diagnosis of invasive fungal infections, using microscopy images obtained in laboratory settings with limited resources. Leveraging deep learning models such as
-
) “Hope” probe. The position contributes to ongoing research, data analysis, simulation efforts, and dissemination of scientific results from Hope observations. The funding for this position is provided by
-
for state-of-the-art techniques for Accelerated Nanomaterial Discovery, integrating synthesis, advanced characterization, physical modeling, and computer science to iteratively explore a wide range of
-
Technical College, Kasitsna Bay Campus, Seward Marine Center, Tok Campus, Kuskokwim Campus, and Northwest Campus) Online: https://www.uaf.edu/orca/files/ASFSR.pdf . Request a paper copy in person: UAF Office
-
be funded within the project titled ”A Probabilistic Inverse Model for Identifying the Source of Atmospheric Contamination on a Continental Scale” funding under the prestigious SONATA 20 competition