Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Sweden
- Norway
- Germany
- Netherlands
- France
- Denmark
- Belgium
- Austria
- Hong Kong
- Singapore
- Australia
- Poland
- Portugal
- Spain
- China
- Estonia
- Switzerland
- United Arab Emirates
- Italy
- Canada
- Cyprus
- Luxembourg
- Czech
- Finland
- Saudi Arabia
- Barbados
- Brazil
- Europe
- Iceland
- Ireland
- Japan
- Lithuania
- Morocco
- New Zealand
- Taiwan
- Worldwide
- 28 more »
- « less
-
Program
-
Field
- Computer Science
- Medical Sciences
- Engineering
- Biology
- Science
- Economics
- Mathematics
- Psychology
- Chemistry
- Humanities
- Materials Science
- Environment
- Linguistics
- Arts and Literature
- Earth Sciences
- Education
- Electrical Engineering
- Business
- Physics
- Social Sciences
- Law
- Sports and Recreation
- 12 more »
- « less
-
25th February 2026 Languages English English English The Department of Materials Science and Engineering has a vacancy for a PhD Candidate in machine learning and large language models (LLMs
-
, as well as other sustainability relevant endeavours Integrating advanced machine learning methods in thermodynamics for computer-aided property predictions, molecular and product design and
-
at a computer for large portions of the day; repetitive motion; occasionally positioning patients over 25 lbs. Shift Monday – Friday, Day Shift; 7:30-6:00pm (40 hrs/wk), 4x 10-hour shifts Job Summary We
-
, please visit: https://qbm.genzentrum.lmu.de/application/ Tuition fees per semester in EUR None Combined Master's degree / PhD programme No Joint degree / double degree programme No Description/content
-
(1–4) and in related projects. We encourage potential PhD candidates to visit our webpage to learn more about the research we are conducting. The PhD candidate is expected to be enrolled in two
-
help you adapt the device you are using to apply to suit your needs My Computer My Way (abilitynet.org.uk) Please note that CVs are not accepted in place of the application form. Within the application
-
qualifications: Experience with implementation or applications of large machine learning models Experience with generative methods for protein design and/or docking simulations or generative methods
-
with Machine Learning Highly motivated to learn about biology and (the study of) biological data Enthusiastic team player Desirable but not required Experience with single-cell omics data Experience with
-
University Medical Center of the Johannes Gutenberg University Mainz | Mainz, Rheinland Pfalz | Germany | 2 months ago
), is offering a fully funded PhD position in the area of statistical learning, machine learning, and survival analysis applied to large-scale proteomics and multi-omics cohort data. The PhD project
-
analysis. • Hydrological and hydraulic simulation. • Machine learning, including unsupervised clustering and predictive modelling. • Working with large, complex, multi-source datasets using MATLAB, Python