Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Sweden
- Portugal
- Germany
- France
- Netherlands
- Norway
- Spain
- Canada
- Australia
- Austria
- Denmark
- Singapore
- Belgium
- Italy
- Poland
- China
- Finland
- United Arab Emirates
- Switzerland
- Czech
- India
- Luxembourg
- Morocco
- Ireland
- Japan
- Romania
- Hong Kong
- Brazil
- Estonia
- Macau
- New Zealand
- Greece
- South Africa
- Cyprus
- Latvia
- 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
-
present. Evaluation of the trained models on suitable datasets. What you contribute Good knowledge in the field of machine learning and training neural networks. Good Python skills, preferably some
-
Duration: 3 months Maximum Duration Including Renewals: 3 months Objectives To develop a model for the implementation of drone air corridors communications in 5G-NR SA networks, identifying the required
-
change scenarios affect biodiversity and ecosystem services on dairy farms in various European regions. The postdoctoral researcher is expected to conduct knowledge syntheses on how agroecological measures
-
on the modelling of transmission dynamics and risk assessment of mosquito-borne arboviruses with the potential to invade the EU. Addressing this challenge requires an interdisciplinary approach, combining
-
. Maintain knowledge of advances in AI, computational modelling and translational medical technologies. 14. Engage in professional development and undertake other reasonable duties as required. 15. Contribute
-
DC-26094– POSTDOC/DATA SCIENTIST – AI-DRIVEN CLIMATE RISK MODELLING AND EARLY WARNING SYSTEMS FOR...
: https://www.list.lu/ How will you contribute? You will be part of LIST’s Remote sensing and natural resources modelling group Embedded in the Environmental Sensing and Modelling (ENVISION) unit
-
based on Machine Learning (ML) emulators have taken the weather predictions research by storm, as they run faster and use less energy than traditional approaches: numerical models based on physical
-
. To the best of our knowledge, there has been very little attempt to address this crucial problem in MT. This PhD proposes to investigate different methods to improve terminology translation in NMT models
-
integrates spatio-temporal analyses (including synthetic descriptions such as distribution envelopes, size structures, and joint species distribution modeling), trophic modeling, and machine learning
-
neuroscience and cognition, humanoid technologies and robotics, artificial intelligence, nanotechnology, and material sciences, offering a truly interdisciplinary scientific experience. Our approach integrates