Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Sweden
- Germany
- Netherlands
- Norway
- Denmark
- Belgium
- Australia
- France
- Spain
- Austria
- Poland
- Switzerland
- United Arab Emirates
- Portugal
- China
- Singapore
- Hong Kong
- Canada
- Estonia
- Finland
- Czech
- Luxembourg
- Cyprus
- Morocco
- Italy
- Vietnam
- Brazil
- Greece
- Saudi Arabia
- Hungary
- Ireland
- Japan
- Latvia
- New Zealand
- Taiwan
- Worldwide
- 28 more »
- « less
-
Program
-
Field
- Computer Science
- Medical Sciences
- Engineering
- Biology
- Economics
- Science
- Mathematics
- Business
- Materials Science
- Earth Sciences
- Environment
- Chemistry
- Education
- Humanities
- Psychology
- Electrical Engineering
- Social Sciences
- Arts and Literature
- Linguistics
- Law
- Physics
- Sports and Recreation
- 12 more »
- « less
-
the reference number 27697, via our online portal: Apply now via https://jobs.uksh.de/job/Kiel-PhD-%28mfd%29-Statistical-Genetics-Machine-Learning-Schl-24105/1279933701/ For more information visit: www.uksh.de
-
-of-computing-science/ Project description and working tasks The project will develop privacy-aware machine learning (ML) models. We are interested in data driven models for complex data, including temporal data
-
and machine learning. Topics of interest in this area include, but are not limited to: natural language processing, large language models, graph learning, prompt engineering, knowledge graphs, knowledge
-
of written and spoken English. You should have experience with programming (e.g. Python, Julia), simulation methods (e.g. molecular dynamics) and modern machine learning methods. Additional Information
-
analysis. • Hydrological and hydraulic simulation. • Machine learning, including unsupervised clustering and predictive modelling. • Working with large, complex, multi-source datasets using MATLAB, Python
-
for Horticulture and Phenotyping) team research topics focus on low cost computer vision and machine learning, simulation assisted plant phenotyping and machine learning based data mining for plant biology
-
curriculum vitae, and contact information for three references. Additional supporting materials might be requested from shortlisted candidates. ABDs and recent PhDs (degree conferred 2024 or later) should also
-
15 Jan 2026 Job Information Organisation/Company IFP Energies nouvelles (IFPEN) Research Field Engineering » Mechanical engineering Researcher Profile First Stage Researcher (R1) Positions PhD
-
skills and experience: Essential criteria PhD or equivalent (or thesis submitted*) in at least one of the following subjects: Computer Science, Machine Learning, Biomedical Engineering, Medical Imaging
-
own learning. You should apply if First degree in Engineering, Applied Mathematics or Physics (with an MSc or PhD in a related topic). Experience of processing of numerical and/or experimental data and