Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Germany
- Sweden
- France
- Norway
- Belgium
- Netherlands
- Denmark
- Singapore
- Spain
- Portugal
- Hong Kong
- Poland
- Australia
- Switzerland
- Austria
- China
- Luxembourg
- Canada
- United Arab Emirates
- Italy
- Ireland
- Czech
- Finland
- Cyprus
- Latvia
- Morocco
- Estonia
- India
- Andorra
- Bulgaria
- Lithuania
- New Zealand
- South Africa
- Brazil
- Romania
- Saudi Arabia
- Slovenia
- Worldwide
- Armenia
- Israel
- Japan
- Barbados
- Croatia
- Europe
- Greece
- Iceland
- Malta
- Slovakia
- Taiwan
- Vietnam
- 42 more »
- « less
-
Program
-
Field
- Computer Science
- Medical Sciences
- Biology
- Engineering
- Economics
- Science
- Mathematics
- Business
- Chemistry
- Materials Science
- Social Sciences
- Humanities
- Psychology
- Arts and Literature
- Linguistics
- Education
- Electrical Engineering
- Environment
- Earth Sciences
- Physics
- Law
- Design
- Sports and Recreation
- Philosophy
- Statistics
- 15 more »
- « less
-
-in-machine-learning-for-cognitive-neuroscience Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/294553/phd-research-fellow-in-ma… Requirements Research FieldComputer
-
materials using statistical mechanics, molecular simulations, and machine learning. Expectations Candidates will be responsible for: Developing multi-scale modeling methods for polymeric materials, using
-
. The successful candidate will have the responsibility of developing, in collaboration with Dr Whelan and the PhD students, machine learning tools for the handling of the Mauve and MUSE datasets. They will also be
-
, machine learning, and life cycle assessment, we aim to create sustainable wearable systems to enhance human well-being. For more details, please view https://www.ntu.edu.sg/mse/research . We are seeking a
-
discipline. Experience with deep learning framework PyTorch or similar. Strong background in machine learning, image or signal processing. Knowledge of SotA models for multi-modality and scene understanding
-
or integrate with larger epidemiological databases You are experienced in machine learning models to interpret complex data types The official administrative language used at KU Leuven is Dutch. If you
-
ability to quickly learn and master computer programs. Strong analytical skills and excellent judgment. Ability to work under deadlines with general guidance is essential. Excellent organizational skills
-
application! We are looking for a PhD student in Statistics and Machine Learning Your work assignments We are looking for a PhD candidate to work in the intersection of computational statistics and machine
-
Qualifications: Completed doctoral studies – PhD in bio-resource technology, practical implementation of Machine Learning, or a related field. Strong knowledge of Food security theory. Understanding of principles
-
Reflectometry The aim of the PhD project is to provide machine learning (ML) based neutron reflectometry (NR) analysis as an automatized workflow for the reflectometry instruments at the Institut Laue-Langevin