Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- University of North Carolina at Chapel Hill
- Rutgers University
- University of Luxembourg
- Argonne
- Eindhoven University of Technology (TU/e)
- Nature Careers
- Technical University of Munich
- University of Washington
- Yale University
- Chalmers University of Technology
- Delft University of Technology (TU Delft); today published
- Duke University
- ERATOSTHENES CENTRE OF EXCELLENCE
- European Space Agency
- FAPESP - São Paulo Research Foundation
- Linnaeus University
- Linneuniversitetet
- National Aeronautics and Space Administration (NASA)
- Royal Netherlands Academy of Arts and Sciences (KNAW)
- Royal Netherlands Academy of Arts and Sciences (KNAW); 17 Oct ’25 published
- The Netherlands Cancer Institute
- The Netherlands Cancer Institute; Amsterdam
- University of California
- University of Florida
- University of Minnesota
- University of North Texas at Dallas
- University of Texas at Tyler
- Université Savoie Mont Blanc
- Villanova University
- 19 more »
- « less
-
Field
-
mathematical background, including expertise in stochastic optimization (e.g. Markov decision theory and dynamic programming) and applied probability (Bayesian statistics). Excellent coding skills (e.g., in Java
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
: Python, Perl, R, Java, C. Candidates must be familiar with the functional genomics experiments indicated above and have experience analyzing data from these experiments using robust computational
-
, Freesurfer, UNIX/LINUX computational environments and/or programming skills (MATLAB, R, C++; JAVA, Python) is desirable, but not required. Applicants who have experience in the study of children (especially
-
Programming using MATLAB, Python, and Java/Kotlin (for Android) Publish journal articles. Presentation of research at national and international conferences. Supervise undergraduate students. Supervise graduate
-
major programming language, such as Java, C/C++/C#, Python, and preferably in several languages; proficiency in the Linux operating system and deployment and configuration of virtualised environments
-
. Familiarity with techno-economic analysis. Experience with scientific programming languages (e.g., R, Python, Java) and statistical software (e.g., Stata). Ability to create visualizations to effectively
-
. Strong publication record in the area of computer networked systems. Proficiency in both theory and practice of Computer Science including software development skills in programming languages such Java, C
-
of demonstrated experience or an equivalent combination of education and demonstrated experience. Required Skill/Ability 1: Demonstrated expertise working with Linux, Python, and Java. Required Skill/Ability 2
-
The successful applicant should have a Ph.D., or foreign equivalent, by date of appointment in machine learning from computer science or related areas and be proficient in Java, C, and Python programming
-
statistical analysis platforms such as Python, R, and Java. Good communication skills Strong academic records in terms of publications, research project experiences, etc. The individual must be highly motivated