Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Germany
- Switzerland
- Belgium
- Australia
- Singapore
- Austria
- United Arab Emirates
- Canada
- Sweden
- China
- Denmark
- Netherlands
- Luxembourg
- Hong Kong
- Ireland
- Portugal
- Finland
- France
- Poland
- Norway
- Saudi Arabia
- Taiwan
- Europe
- Iceland
- Italy
- South Africa
- Estonia
- Israel
- Japan
- Slovenia
- 22 more »
- « less
-
Program
-
Field
- Computer Science
- Medical Sciences
- Engineering
- Economics
- Biology
- Chemistry
- Mathematics
- Science
- Education
- Earth Sciences
- Environment
- Psychology
- Business
- Linguistics
- Arts and Literature
- Electrical Engineering
- Sports and Recreation
- Materials Science
- Social Sciences
- Physics
- Humanities
- Law
- Statistics
- 13 more »
- « less
-
. Close collaboration with research groups in theoretical solid-state physics/chemistry, machine learning, and artificial intelligence is expected. Close cooperation with industrial partners and the
-
your suitability with evidence of the following: Have backgrounds in computer science (or engineering), system engineering, or physics/mathematics. Knowledgeable in machine learning techniques (had
-
Qualifications: PhD in experimental particle physics at the time of appointment. Preferred: Deep understanding of the particle detectors, particle identification, data analysis Machine learning experience is a
-
Your personal sphere of influence: A PhD position is available in the group of Prof. Köllensperger, at the Institute of Analytical Chemistry starting October 2025. The group pioneers metabolomics
-
available in the Geometric Machine Learning Group at Harvard University, led by Prof. Melanie Weber. This role offers an opportunity to perform research on Riemannian Optimization. The ideal candidate has a
-
state-of-the-art machine learning and deep learning techniques (such as generative adversarial networks), with empirical fieldwork in Norwegian glacier environments. You will collaborate closely with
-
following areas: Mathematical Analysis/ Numerical Analysis/ Theoretical Machine Learning Please note: Applications from candidates with degrees in other disciplines (e.g., Computer Science, Engineering) will
-
Squared project, run by the Human-Computer Interaction Institute at CMU aims to double the rate of math learning in middle school students, particularly those who have been historically underserved
-
. CADIA provides a collaborative environment where researchers tackle challenging problems in AI, machine learning, and human-computer interaction. The center offers regular seminars, visiting researcher
-
AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 10 days ago
Learning for Natural Language – Led by Prof Lexing Xie, this stream applies machine learning to climate, health, and environmental challenges. Strong candidates will have experience in ML algorithms, human