Sort by
Refine Your Search
-
Listed
-
Country
- United States
- United Kingdom
- Germany
- Sweden
- France
- China
- Belgium
- Netherlands
- Canada
- Poland
- Austria
- 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
- Earth Sciences
- Physics
- Law
- Sports and Recreation
- Philosophy
- 14 more »
- « less
-
methodological skills with a focus on quantitative data analysis (e.g., econometrics, statistics, machine learning) a high motivation and the ability to work independently with a strong team orientation excellent
-
. Qualifications: Required Education and/or Experience: Must have a PhD degree from an accredited institution of higher learning; or Must have a Master's degree from an accredited institution of higher learning and
-
astrophysics (completed by the start date), demonstrated experience in large-scale structure simulations, working knowledge of applications of machine learning techniques in cosmology and/or astrophysics (in
-
or similar) Preferred Qualifications: Experience with MRI/fMRI/DTI, PET, multimodal fusion, and/or machine learning Strong programming skills (Python/MATLAB), version control, and HPC workflows Special
-
. The PhD will focus on two complementary approaches: 1) Enhancing CDI with machine learning: improve this technique using convolutional neural networks (CNNs) trained on simulated data, enabling faster and
-
, and to use of the most recent computational advances, such as Artificial Intelligence and Machine Learning (AI/ML). The Principal Research Scientist (Managing) will provide scientific and technical
-
PhD students through the University’s Academic Information System. Develops positive and active working relationships with internal and external constituents including but not limited to the PSD Dean
-
and application of AI and machine learning methods; (iii) a good track record of research and publication in top peer-reviewed scientific journals in the area of general medicine, cardio
-
databases. Additionally, you will coordinate and monitor PhD qualifying examinations clearing students for graduation, monitor and update the SES Graduate Student Manuel, develop and publish graduate student
-
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