Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Forschungszentrum Jülich
- LINGNAN UNIVERSITY
- Midlands Graduate School Doctoral Training Partnership
- Tilburg University
- ;
- Cardiff University
- Georgetown University
- McGill University
- Midlands Graduate School Doctoral Training Partnership;
- National Renewable Energy Laboratory NREL
- Newcastle University
- Oak Ridge National Laboratory
- University of California, San Francisco
- University of Exeter;
- University of Minnesota
- University of Oxford
- University of Tennessee, Knoxville
- University of Washington
- 8 more »
- « less
-
Field
-
on computer vision, image processing, or machine learning Solid mathematical and physics background, distinct analytical skills Very good programming (Python, C++) and computer (Linux, Windows) skills
-
descriptors, molecular simulations, and machine learning, this PhD project seeks to predict ion-exchange isotherm parameters directly from molecular properties. These predictions will be integrated
-
, or machine-learning frameworks is an asset Strong analytical skills with a solid understanding of data evaluation, modeling, and interpretation of complex datasets Ability to work independently as
-
19 Jan 2026 Job Information Organisation/Company Forschungszentrum Jülich Research Field All Researcher Profile First Stage Researcher (R1) Application Deadline 19 Jan 2038 - 03:14 (UTC) Country
-
Your Job: This PhD project bridges between classical analytical methods and modern AI based techniques to analyse spike train recordings to advance our understanding of neural population coding
-
theory and methods by taking several PhD-level courses (about 36 European credits) in information systems, operations management, econometrics, machine learning, extensive data analytics and qualitative
-
, econometrics, machine learning, extensive data analytics and qualitative research methods. The student will collaborate closely with advisors to identify, develop, and carry out their research project. The PhD
-
Research Associate to support the work of Professor Angus Jones and the world leading Exeter diabetes research team. The successful applicant will work on a Diabetes UK funded project using data from >5000
-
Your Job: This PhD project develops a Bayesian inference framework for hybrid model- and data-driven modeling of metabolism, with a particular focus on handling model misspecification. By combining
-
) at the University of Cape Town, led by Professor Sheetal Silal. The post holder will contribute to two major initiatives: Malaria Modelling and Analytics: Leaders in Africa (MMALA), which strengthens modelling