Sort by
Refine Your Search
-
/or Python Interest in regression, multilevel/hierarchical and/or Bayesian modeling Interest in translational clinical research and ability to work in an interdisciplinary team Excellent written and
-
powered by: Cookie Information Nettsiden bruker cookies Vi ønsker at du skal være trygg når du bruker dette nettstedet. Vi benytter cookies for å sikre at du får en best mulig brukeropplevelse og
-
the application which project you are specifically interested in. Further details on the projects can be found here: https://www.fz-juelich.de/en/jcns/careers/fellowships/tasso-springer-fellowship-program Your
-
with Linux, Docker, MongoDB, PostgreSQL, and Opal technologies; - Experience with CI/CD methodologies and technologies; - Software development experience based on JavaScript (ReactJS, NodeJS) and Python
-
on the applicants' enrolment in study cycle or non-award courses of Higher Education Institutions. Preference factors: - Experience with different programming languages, including C, Python, Go, and Rust
-
experience in a professional context; - Experience in developing software based on JavaScript (ReactJS, NodeJS) and Python; - Experience with the use, integration, and development of APIs; - Experience in
-
learning. Experience in scientific programming (e.g., Python and/or MATLAB) and code management tools. Good knowledge of written and spoken scientific English. 5. EVALUATION OF APPLICATIONS AND SELECTION
-
is also placed on your: background in structural and fluid dynamics of civil and marine structures experience in finite element analysis and ability to code in Python or similar software motivation and
-
-source artificial intelligence, machine learning, statistical estimation methods, software tools, and big-data frameworks. Programming languages such as e.g. Python, C++, and LABVIEW. In the assessment