Sort by
Refine Your Search
-
Listed
-
Country
- United States
- United Kingdom
- Germany
- France
- Sweden
- Belgium
- China
- Netherlands
- Poland
- Austria
- Canada
- Australia
- Spain
- Hong Kong
- Denmark
- Singapore
- Portugal
- United Arab Emirates
- Czech
- India
- Italy
- Latvia
- Lithuania
- Andorra
- Luxembourg
- South Africa
- Ireland
- Norway
- Croatia
- Cyprus
- Romania
- Armenia
- Estonia
- Greece
- New Zealand
- Switzerland
- Barbados
- Bulgaria
- Europe
- Indonesia
- Japan
- Malta
- Morocco
- Qatar
- Saudi Arabia
- Slovenia
- Worldwide
- 37 more »
- « less
-
Field
- Computer Science
- Medical Sciences
- Engineering
- Economics
- Biology
- Science
- Mathematics
- Social Sciences
- Business
- Arts and Literature
- Education
- Psychology
- Chemistry
- Humanities
- Linguistics
- Electrical Engineering
- Environment
- Materials Science
- Design
- Physics
- Earth Sciences
- Law
- Sports and Recreation
- Philosophy
- 14 more »
- « less
-
Forecasting the Future of Biodiversity: Cutting-Edge Approaches to Population and Community Dynamics
: How can tools like passive bioacoustics revolutionize wildlife monitoring? We offer cutting-edge training in statistical modelling, machine learning, and ecological forecasting, and our lab works across
-
more than 1,200 students. Classroom sizes are maintained at approximately 20 students to ensure a small, dynamic learning experience. MINIMUM QUALIFICATIONS Applicants must hold a doctoral degree (PhD or
-
for the Rural Spain: Adaptation of Large Language Models (LLMs) and Speech Recognizers to Rural Speech" (SI4/PJI/2024-00237), granted in the 2024 call for R&D Project Grants for Emerging PhDs by the Universidad
-
Praha 120 00, Czechia [map ] Subject Areas: Statistics, data analysis, information theory, machine learning, deep learning, and data science Appl Deadline: 2026/04/16 04:59 AM UnitedKingdomTime (posted
-
experience aligned to the goals of at least one of the Centre for Data Science and AI’s with commensurate output. E2 Substantial experience in machine learning and AI, including experience in machine learning
-
postdocs, tenure-track positions, tenured positions, and positions for distinguished professorship. Candidates in areas including, but not limited to, Quantum Algorithms, Quantum Machine Learning, Quantum
-
network management. You will have a good first degree in physics, electrical and electronic engineering, computer engineering/science, or another relevant subject, and a PhD or equivalent experience in
-
, course administration, and supervision of doctoral students, in both Swedish and English. If you are not initially able to teach in Swedish, Swedish language training aimed at achieving this competence
-
the identification of optimal leaching conditions and expand the range of metals that can be processed using GLT. The work will involve integrating and evaluating machine learning techniques, with a focus on
-
to the subject of the course. To teach at the graduate level, faculty should hold an MS or PhD in computer science or a closely related field, or a Bachelor's degree in CS or a related field combined with