Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- University of Wolverhampton
- Nature Careers
- Cornell University
- HHMI
- University of Oslo
- Rutgers University
- Coastal Carolina University
- Libera Università di Bolzano
- State University of New York University at Albany
- University of Glasgow
- University of New South Wales
- University of Texas at Arlington
- University of Texas at Dallas
- Brookhaven National Laboratory
- CRANFIELD UNIVERSITY
- California Institute of Technology
- IMT Atlantique
- North Carolina State University
- Oak Ridge National Laboratory
- Technical University of Munich
- University of California
- University of Central Missouri
- University of Washington
- Aarhus University
- BRGM
- CNRS
- CRUK Scotland Institute;
- Case Western Reserve University
- Clermont Auvergne INP
- Delft University of Technology (TU Delft)
- Durham University
- ESO - European Southern Observatory
- ETH Zurich
- Ghent University
- Harvard University
- Helmholtz-Zentrum Hereon
- KU LEUVEN
- KU Leuven
- National Renewable Energy Laboratory NREL
- Riga Technical University
- SORBONNE UNIVERSITY ABU DHABI
- Saarland University
- SciLifeLab
- South East Technological University
- Technical University of Denmark
- The University of Arizona
- The University of Edinburgh;
- Ulster University
- University College Cork
- University of Alabama at Birmingham
- University of California, Los Angeles
- University of Cyprus
- University of Minnesota
- University of Potsdam, Faculty of Science
- University of Sheffield
- University of Sydney
- University of Texas at Austin
- University of Vienna
- 48 more »
- « less
-
Field
-
managing all underlying compute, networking, and storage resources (e.g., Kubernetes clusters, GPU instances). Feature Engineering: Define shared data and feature management patterns to ensure consistency
-
/CloudFormation) for provisioning and managing all underlying compute, networking, and storage resources (e.g., Kubernetes clusters, GPU instances). Feature Engineering: Define shared data and feature management
-
processing systems, computer networks, and intelligent software-intensive systems. The Institute plays a strategic role in advancing data-driven and intelligent technologies that support emerging digital
-
benefits to all staff: Your Benefits: Competitive salaries Standard Life Pension scheme – with employer contribution of up to 12% to the University's defined contribution scheme. Long Service Recognition
-
Benefits: Competitive salaries Standard Life Pension scheme – with employer contribution of up to 12% to the University's defined contribution scheme. Long Service Recognition - £200 gift voucher
-
industry. A strong understanding of the computing hardware, software and data requirements of Cryo-EM science, including experience with high performance computing and networking. About Working at the Crick
-
, software, and/or network problems to ensure adequate support to the lab. Work closely with scientists to understand analytical workflows and help improve quality and performance in data acquisition and
-
employer contribution of up to 12% to the University's defined contribution scheme. Long Service Recognition - £200 gift voucher, certificate, and afternoon tea with Vice Chancellor for 25 & 40 years
-
staff: Your Benefits: Competitive salaries Standard Life Pension scheme – with employer contribution of up to 12% to the University's defined contribution scheme. Long Service Recognition - £200 gift
-
and practices. Receive assignments in the form of objectives with goals and the process by which to meet goals. Exercise judgment within defined procedures and policies to determine appropriate action