Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- Nanyang Technological University
- University of Oslo
- Dana-Farber Cancer Institute (DFCI)
- Harvard University
- Zintellect
- City of Hope
- Francis Crick Institute
- National University of Singapore
- The University of Queensland
- University of Michigan
- ;
- CRANFIELD UNIVERSITY
- Center for Drug Evaluation and Research (CDER)
- Cranfield University
- Cyprus University of Technology
- Duke University
- Fundació Hospital Universitari Vall d'Hebron- Institut de recerca
- Hong Kong Polytechnic University
- Indiana University
- Mayo Clinic
- Monash University
- Oden Institute for Computational Engineering and Sciences
- Queen's University Belfast;
- The Francis Crick Institute
- UNIVERSITY OF MELBOURNE
- University of Bergen
- University of Exeter;
- University of Idaho
- University of Maryland, Baltimore
- University of Michigan - Ann Arbor
- University of Michigan - Flint
- Western Norway University of Applied Sciences
- Yale University
- 24 more »
- « less
-
Field
-
software developers, this role focuses on integrating advanced computational methods with scalable cloud platforms to streamline data processing, analysis, and sharing. The successful candidate will have a
-
into practical systems. Key Responsibilities Derive and analyse closed-form mathematical expressions for latency and offloading probabilities across edge-only, cloud-only, and edge-cloud computation offloading
-
expressions for latency and offloading probabilities across edge-only, cloud-only, and edge-cloud computation offloading algorithms. Design and develop robust Python APIs for edge-only, cloud-only, and edge
-
strong plus. • Excellent software architecture design capabilities and experience with cloud/edge computing deployment. • Strong written and spoken communication skills. • Open to fixed-term
-
Starting Date 1 Mar 2027 Is the job funded through the EU Research Framework Programme? Horizon Europe - MSCA Is the Job related to staff position within a Research Infrastructure? No Offer Description
-
Apply now to lead high-impact computational analyses that power evolutionary and developmental discoveries in the TREE Lab. Investing in you - 17% superannuation, benefits package including salary
-
learning, generative AI or LLM-based systems, cloud computing, and the design and validation of algorithms for high-volume quantitative or sensor-derived data. Experience with wearable data, health
-
of Computing and Data Science (CCDS) at NTU. Technical skills, natural curiosity, versatility, and enthusiasm are highly desired traits that will enable success in this fast-paced environment. Key
-
, data pipelines, database management, SQL, REDCap, cloud or high-performance computing environments, and reproducible research practices. Excellent communication, stakeholder engagement and collaboration
-
. Experience using high-performance computing and/or cloud computing. Ability to work independently as well as collaboratively in an interdisciplinary research environment. Strong written and oral