Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- Nature Careers
- Colorado State University
- Nanyang Technological University
- National University of Singapore
- University of Michigan
- ;
- Hong Kong Polytechnic University
- Instituto Pedro Nunes
- KINGS COLLEGE LONDON
- University of California Los Angeles
- AbbVie
- CNRS
- Curtin University
- Dana-Farber Cancer Institute
- Drexel University
- FCiências.ID
- George Mason University
- Lawrence Berkeley National Laboratory
- Macquarie University
- RMIT University
- The University of Alabama
- University of Adelaide
- University of Alabama, Tuscaloosa
- University of California
- University of California, Los Angeles
- University of Maryland, Baltimore
- University of Michigan - Ann Arbor
- University of Michigan - Flint
- University of Oklahoma
- University of San Francisco
- 21 more »
- « less
-
Field
-
algorithms to solve hydrology and water resources problems. Familiarity with high-performance computing (HPC), cloud platforms, or GPU clusters. Demonstrated ability to work collaboratively with
-
for improved interpretability and generalization. Familiarity with high-performance computing (HPC), cloud platforms, or GPU clusters. Demonstrated ability to work collaboratively in interdisciplinary and cross
-
regular meetings with the research group. Ph.D. in Electrical Engineering, Computer Engineering, Computer Science, or a related field. Proven experience working with LiDAR sensors, point cloud data
-
Engineering, Computer Science, or a related field. Proven experience working with LiDAR sensors, point cloud data processing, and sensor integration. Strong background in signal processing, computer vision, or
-
learning and cloud-based architecture skills to lead the fine-tuning/training, design, development, and integration of the AI components of the AiCT-Med platform. Candidates from diverse backgrounds in AI
-
tools (e.g. kneadata, metaphlan2, HUMAnN) Experience working in high performance computing cluster Experience in AI/ML, cloud computing, web development are assets Hiring Institution: LKC
-
Python and/or R is preferred. Experience with cloud computing is a plus. Willingness to learn new languages and tools as the field grows. Supervisory Responsibilities: This position may involve co
-
operationalise of remote sensing processing chains and their deployment in cloud using the latest approaches to the containisation and orchestration Grade 8 Lead the development of new and innovative optical
-
cancer genomics and functional interpretation of genetic variants Proficiency in Python, R, or other bioinformatics languages Knowledge of cloud computing, and high-performance computing (HPC) environments
-
maintenance of equipment. Job Requirements A degree in Computer Science or relevant field Experience with software development life cycle For app developer role: Strong knowledge in C++ and/or Javascript for 3D