Sort by
Refine Your Search
-
Country
-
Employer
- Nanyang Technological University
- Harvard University
- University of Oslo
- Institute of Science and Technology Austria
- Institute of Science and Technology Austria (ISTA)
- AALTO UNIVERSITY
- CIC bioGUNE
- CIC bioGUNE (Asociación Centro de Investigación Cooperativa en Biociencias)
- City of Hope
- Institute of Photonic Sciences
- King Abdullah University of Science and Technology
- National University of Singapore
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- UNIVERSITY OF SOUTHAMPTON
- University of Aberdeen;
- University of Michigan
- University of Nottingham
- Western Norway University of Applied Sciences
- 8 more »
- « less
-
Field
-
, and hypothesis generation. Integrate transcriptomic, epigenomic, spatial transcriptomic, and other multi-omics datasets. Perform gene regulatory network, transcription factor, pathway, and cell-state
-
work and placements. Collaboration & Networking (10%): Build and maintain collaborative relationships with internal and external partners, build research networks, and coordinate shared projects
-
: Software Engineering, Sensor Networks and Engineering Computing and the HVL Software Engineering Group (https://www.hvl.no/forsking/gruppe/programvareutvikling-software-engineering/). The research programme
-
analytics, or network analysis. • Experience in agent-based modeling or simulation is highly desirable. • Demonstrated ability to publish in internationally recognized peer-reviewed journals
-
computational chemistry, reaction network analysis, and machine learning for organometallic catalytic reactions. 2. Design of membrane-permeable macrocyclic peptide drugs via machine learning structure
-
leadership training, as well as career development support • Joining ISTA’s and the NOMIS Foundation’s global networks of exceptional, pioneering researchers Proposals are invited in the following fields
-
• Scientific integrity and leadership training, as well as career development support • Joining ISTA’s and the NOMIS Foundation’s global networks of exceptional, pioneering researchers Proposals are invited in
-
the correctness, robustness and reliability of deep neural networks and AI-enabled software systems. Job Responsibilities: Conduct research in adversarial machine learning, AI security and the robustness of deep
-
the correctness, robustness and reliability of deep neural networks and AI-enabled software systems. Job Responsibilities: Develop novel methods and algorithms for the verification, testing and robustness analysis
-
participate in a nationwide cohort for shared learning, professional growth, and network-building. Fellows gain practical experience, advance meaningful work, and help strengthen the state's civic science