Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Forschungszentrum Jülich
- Auburn University
- ;
- CENTRO DE ESTUDIOS MONETARIOS Y FINANCIEROS (CEMFI)
- Cyprus University of Technology
- Fundació Hospital Universitari Vall d'Hebron- Institut de recerca
- Midlands Graduate School Doctoral Training Partnership
- Nanyang Technological University
- Natural Resources Institute Finland (Luke)
- Oak Ridge National Laboratory
- RMIT University
- Tilburg University
- UNIVERSITY OF ADELAIDE
- University of Minnesota
- Virginia Tech
- 5 more »
- « less
-
Field
-
Midlands Graduate School Doctoral Training Partnership | Loughborough, England | United Kingdom | 1 day ago
mechanisms. This will provide training in advanced quantitative methods, spatial data integration, uncertainty assessment, and reproducible coding in R or Python. Qualitatively, the project will use
-
(Python, Julia, C++, …) Good analytical skills Good organizational skills and ability to work both independently and collaboratively Effective communication skills and an interest in contributing
-
education? Apply today! War Eagle! Minimum Qualifications Enrolled Auburn University student Experience with Python Experience with JavaScript Completion of STAT 1010 or equivalent with a grade of ‘B’ or
-
Proficiency in at least one programming language, preferably Python; experience with scientific computing, numerical modeling, or machine-learning frameworks is an asset Strong analytical skills with a solid
-
sampling strategies in Python and C++ Apply your framework to analyse real biological datasets to demonstrate robustness, interpretability, and practical impact Contribute to open-source software tools
-
. Knowledge of Python, web scraping, and text analysis would be an advantage. - Flexible, self-motivating, independent and able to manage multiple tasks efficiently. - Proficient in English. - Strong interest
-
, computer science and earth science/engineering, or a related field Proficiency in at least one programming language (Python, Matlab, R, C++, Julia, …) Good analytical skills with a sound understanding of data
-
, molecular simulations, and their application to bioprocesses and bioseparations Proficiency in at least one programming language, preferably Python; experience with scientific computing, numerical modeling
-
in at least one programming language (Python, C++, …) Experience in neuroscience is an advantage Good analytical skills with a sound understanding of data evaluation Good organisational skills and
-
, computer science, or a related field Proficiency in at least one programming language (Python, C++, …) Experience in neuroscience is an advantage Good analytical skills with a sound understanding of data evaluation