Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nanyang Technological University
- UNIVERSITY OF SURREY
- Villanova University
- Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S)
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Marquette University
- Nature Careers
- UiT The Arctic University of Norway
- University of Colorado
- FCiências.ID
- Instituto Pedro Nunes
- Lawrence Berkeley National Laboratory
- Leibniz
- National University of Singapore
- Open Society Foundations
- The University of Queensland
- UNIVERSITY OF SOUTHAMPTON
- University of Beira Interior
- University of British Columbia
- University of California
- University of Nottingham
- University of Oslo
- University of Texas at Austin
- Zintellect
- 14 more »
- « less
-
Field
-
in parallel with the Resident Clinic Director Educational/curriculum development, including Monday Morning Didactic sessions and the Monday “Noon Report” Practice in-the-moment teaching with mentorship
-
will develop computational electromagnetics codes for rapid characterization of the fields scattered from artificial metasurfaces. Key Responsibilities: The key responsibilities of the Research Fellow
-
sampling of the parameter space of eclipsing binary observables, most notably photometric data from NASA’s Kepler and TESS missions. In parallel, the applicant will be given an opportunity to teach
-
will join Andrej Prsa’s research team and work on the PHOEBE code , advancing our understanding of the processes in contact binary stars. In parallel, the applicant will be given an opportunity to teach
-
has also been developing physics-based machine learning algorithms for three dimensional seismic modeling, imaging and inversion using high performance computation including parallelization on GPUs
-
program to combat the alarming rise in criminalizing policies and practices that target immigrants. Deborah Small 2024 Deborah Small will study the impact of local efforts to “reimagine public safety
-
successful applicant will join Andrej Prsa’s research team and work on cutting-edge theoretical and observational aspects of binary and multiple stellar populations. In parallel, the applicant will teach
-
model is employed to forecast renewable energy availability, providing crucial insights for the design optimization process. The ML-assisted operation tackles the dynamic optimization of parallel energy