Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Sweden
- Netherlands
- Germany
- France
- Denmark
- Norway
- Spain
- United Kingdom
- Austria
- Belgium
- Poland
- Switzerland
- Portugal
- China
- Czech
- Luxembourg
- Singapore
- Canada
- Finland
- Ireland
- Saudi Arabia
- Lithuania
- Morocco
- Romania
- Slovenia
- Brazil
- Cyprus
- Hong Kong
- Italy
- Japan
- Andorra
- Bulgaria
- Estonia
- Greece
- Taiwan
- United Arab Emirates
- 27 more »
- « less
-
Program
-
Field
- Computer Science
- Medical Sciences
- Science
- Biology
- Engineering
- Economics
- Chemistry
- Materials Science
- Earth Sciences
- Environment
- Linguistics
- Mathematics
- Psychology
- Electrical Engineering
- Humanities
- Physics
- Arts and Literature
- Business
- Education
- Law
- Design
- Social Sciences
- Sports and Recreation
- 13 more »
- « less
-
, solvent-based recycling process for complex plastic waste streams such as multilayer packaging and e-waste, while Exergy will develop the digital-twin and machine-learning tools that make the process
-
periods for learning, and how individuals’ innate variations interact with experience to give rise to differences in learned behaviors. The team focuses on vocal learning in songbirds as a model system to
-
knowledge of digital image processing, are helpful Basic knowledge fpr application of artificial intelligence and machine learning methods Creativity and ability to work independently in a scientific
-
17 Dec 2025 Job Information Organisation/Company Johannes Kepler University Department Institute for Machine Learning Research Field Computer science Researcher Profile Recognised Researcher (R2
-
required. § The prospective applicant does not have to be an expert in localization. However, good knowledge of wireless communications, digital signal processing, and computer algorithms is required
-
undergraduate and graduate students. Our annual ISMaRT program brings together research teams that include faculty, graduate students, and undergraduate students. One student’s research used machine learning
-
Fundació Privada Institut d'Investigació Oncològica de Vall d'Hebron (VHIO) | Spain | about 1 month ago
. Familiarity with statistical modelling, machine learning and deep-learning Additional information: We offer: 🌐The opportunity to work with our state-of-the-art HPC infrastructure and to join a vibrant network
-
science tools, such as machine learning methods, causal inference, particularly in economic and social science applications. Prior experience working with Large Language Models is a plus. Experience working
-
Computer Engineering. Level Scope: After earning a Ph.D., the next step in the academic or research career path is often a postdoc. A postdoc is a continuation of a researcher’s training that enables them
-
between behavioral and computer scientists. The ideal candidate has some knowledge in both areas, and the specific behavioral domain is open to discussion. Project B – Understanding and Countering