Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Harvard University
- Princeton University
- University of Luxembourg
- University of Minnesota
- Aarhus University
- CNRS
- Duke University
- National Aeronautics and Space Administration (NASA)
- Stanford University
- University of Amsterdam (UvA)
- University of Lund
- University of Oxford
- University of Washington
- Argonne
- Aston University
- Chalmers University of Technology
- City St George’s, University of London;
- Delft University of Technology (TU Delft)
- Durham University
- European Space Agency
- FAPESP - São Paulo Research Foundation
- INESC ID
- Imperial College London
- Inria, the French national research institute for the digital sciences
- Liverpool School of Tropical Medicine;
- Lunds universitet
- MUNSTER TECHNOLOGICAL UNIVERSITY
- Max Planck Institute for Extraterrestrial Physics, Garching
- McGill University
- Michigan Technological University
- Oak Ridge National Laboratory
- The Ohio State University
- The University of Arizona
- University of Canterbury
- University of North Carolina at Chapel Hill
- University of Oxford;
- University of Utah
- Université de Caen Normandie
- Utrecht University
- Wageningen University & Research
- 30 more »
- « less
-
Field
-
changeYears of Research ExperienceNone Additional Information Eligibility criteria - PhD in atmospheric physics with a speciality in cloud, radiative and convective processes - Some experience with conceptual
-
Identification of Objects in Massive, Multi-scale, and Temporal 3D Point Clouds Objectives: The MODAM3 project aims to develop new models and algorithms for the automatic localization, characterization, and
-
platform that combines Building Information Modelling (BIM), Artificial Intelligence (AI), cloud computing, IoT technologies, and real-time data analytics. Working with an international consortium
-
work in this area. In this role, you will have the opportunity to: Build the core decision platform at scale. Develop scalable, tested and documented local and cloud workflows for malaria peptide
-
You will hold a PhD/DPhil in computational biology, bioinformatics, biological sciences, statistics, mathematics or a related discipline, with significant post-qualification research experience and the
-
that manual analysis cannot match: tomographic volumes, surface meshes, point clouds, and derived geometric measurements across hundreds or thousands of specimens. The successful candidate will build
-
and clinical decision support. Minimum Requirements: Ph.D. or equivalent doctorate (e.g. Sc.D., M.D., D.V.M.) Preferred Qualifications:. PhD in one of these fields: Computer Science, Data Science
-
-turbulence-radiation interactions in stratocumulus clouds. As a PostDoc candidate you hold a PhD degree. As a suitable candidate, you may come from a range of backgrounds including, but not limited to, Climate
-
quantify the impact of fast, tenuous shocks on ionized line emission. In parallel, high-resolution 3D MHD simulations of fast shocks interacting with dense interstellar clouds will be carried out with
-
qualified talent. We look for researchers from diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing