Sort by
Refine Your Search
-
outreach and technical assistance, and providing decision-makers with decision-support tools, data analytics, and policy solutions. The Department of Ocean Engineering conducts world-class research in
-
sporting and cultural events, state-of-the-art recreation facilities, the Bush Library and Museum, and much more await you. Experience all that a big city has to offer but with a reasonable cost-of-living
-
machine learning techniques, both data-driven and physics-informed, with mantle convection modeling to investigate planetary evolution and habitability. This is a one-year position with the possibility
-
Instructions: A cover letter, resume, and contact information for three professional references (to include at least one previous supervisor) are strongly recommended. You may upload all three on the application
-
environment; Python programming Preferred Qualifications Experience with unstructured grid ocean modeling system such as SCHISM. Experience of using programming language Python to deal with large 3D ocean data
-
skills in bioinformatics. Engage with an active and collaborative research community within MPIM. Visit our lab website for more information! What you need to know Please note: This position is grant
-
Special Instructions: A cover letter, resume, and contact information for three professional references (to include at least one previous supervisor) are strongly recommended. You may upload all three
-
implementing innovative technologies, analyzing data, and contributing to publications and grant proposals. This position offers opportunities for interdisciplinary training and collaboration, with the potential
-
research, analyze data, and contribute to scholarly publications. You'll also prepare and present research findings, develop grant proposals, and mentor student researchers. Additionally, you'll have the
-
hire’s education and experience. Special Instructions: A cover letter, resume, and contact information for three professional references (to include at least one previous supervisor) are strongly