Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Nanyang Technological University
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- University of Oslo
- University of Bergen
- Harvard University
- National University of Singapore
- Indiana University
- Johns Hopkins University
- UNIVERSITY OF SOUTHAMPTON
- University of Michigan
- University of Nottingham
- Zintellect
- FCiências.ID
- Nature Careers
- Northeastern University
- RMIT UNIVERSITY
- RMIT University
- The University of Queensland
- University of Birmingham
- University of Birmingham;
- CSIRO
- City of Hope
- The University of Edinburgh;
- UNIVERSITY OF NOTTINGHAM NINGBO CHINA
- University of Cincinnati
- University of Southampton;
- CNRS
- CRANFIELD UNIVERSITY
- Carnegie Mellon University
- Center for Devices and Radiological Health (CDRH)
- Cranfield University
- Dana-Farber Cancer Institute
- Faculdade de Ciências e Tecnologia
- Florida Atlantic University
- Georgetown University
- Humboldt-Universität zu Berlin
- Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial
- Istituto Italiano di Tecnologia
- MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA
- Macquarie University
- Marquette University
- National Center of Neurology and Psychiatry
- Queen's University Belfast;
- Ryerson University
- Texas Christian University
- The Norwegian Polar Institute
- The University of Southampton
- UiT The Arctic University of Norway
- University of Lund
- University of Maryland, Baltimore
- University of Michigan - Flint
- University of New South Wales
- University of Otago
- University of Sheffield
- University of Sussex;
- University of Sydney
- University of Texas at Austin
- Université Gustave Eiffel
- Wayne State University
- Wesleyan University
- Łukasiewicz PORT
- 51 more »
- « less
-
Field
-
Matlab or Python) are required. Experience in time series analysis is an advantage. Knowledge of physical oceanography at high latitudes is an advantage. Applicants must be able to work independently and
-
computing (e.g. Python, MATLAB, or similar) for data processing and data handling Experience with data processing, analysis and interpretation Excellent interdisciplinary communication – Strong collaborative
-
(e.g., MATLAB, R, or Stata); · Writing papers for management and economics journals; · Interest in platforms, digitization, antitrust, network effects and/or strategy. Basic Qualifications · A Ph.D. in
-
degree has been awarded. A good understanding of ocean and/or climate dynamics is a requirement. Proficiency in scientific programming (e.g., MATLAB or Python) is a requirement. Experience in statistical
-
, MatLab or similar) Excellent written and oral communication skills in English. In addition, documented experience in one or more of the following is advantageous: Designing and running cognitive
-
). Proven experience in scientific programming and numerical computing (MATLAB, Python, or C/C++), including implementation of reconstruction algorithms and image processing pipelines. Experience with
-
proficiency in Python (e.g., NumPy, Pandas, scikit-learn, PyTorch, TensorFlow); additional experience with R, MATLAB, or Julia is an advantage. Machine Learning Expertise: Familiarity with supervised
-
techniques, high-speed imaging, experimental design, and programming for data processing (e.g. MATLAB, Python) will be considered a strong asset. LanguagesENGLISHLevelExcellent Additional Information Benefits
-
, urban stormwater, and/or water reuse technologies · Experience with computer programming (e.g., MATLAB, Python, or R) · Experience with statistical and process-based modeling of water resources systems
-
in the one of the relevant fields. Degree must have been received within the past five years, or anticipated to be received by 5/31/2026. Preferred skills: Proficiency with Matlab and Microsoft