Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Employer
- Auburn University
- ;
- Nature Careers
- University of Washington
- University of Colorado
- Virginia Community College
- University of California, San Diego
- California Institute of Technology
- Forschungszentrum Jülich
- Humboldt-Stiftung Foundation
- Princeton University
- KINGS COLLEGE LONDON
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- McGill University
- Swedish University of Agricultural Sciences
- University of Delaware
- University of Glasgow
- Brookhaven Lab
- Medical College of Wisconsin
- Oak Ridge National Laboratory
- University of Texas at Austin
- Yale University
- Argonne
- Barnard College
- Duke University
- George Mason University
- Nanyang Technological University
- Tulsa Community College
- University of Toronto
- University of Utah
- Villanova University
- Bellevue College
- Cornell University
- DAAD
- Fraunhofer-Gesellschaft
- Monash University
- NEW YORK UNIVERSITY ABU DHABI
- National University of Singapore
- SUNY University at Buffalo
- Stanford University
- Stony Brook University
- Technical University of Denmark
- The University of Iowa
- University of British Columbia
- University of California, Merced
- University of California, San Francisco
- University of Cambridge
- University of Cincinnati
- University of Dayton
- University of Florida
- University of Minnesota
- University of Oklahoma
- University of Oxford
- University of Saskatchewan
- Wayne State University
- ; Newcastle University
- ; The University of Manchester
- ; University of Oxford
- BNU-HKBU United International College
- CEA
- CSIRO
- California State University, Fresno
- Carnegie Mellon University
- Chalmers University of Technology
- Cold Spring Harbor Laboratory
- Cranfield University
- ETH Zurich
- Ghent University
- Imperial College London
- Indiana University
- Leibniz
- Leiden University
- Linköping University
- Mälardalen University
- Northeastern University
- Pennsylvania State University
- Rutgers University
- The Ohio State University
- The University of Arizona
- The University of Queensland
- The University of Western Australia
- UNIVERSITY OF SOUTHAMPTON
- University of Advancing Technology
- University of Birmingham
- University of California Berkeley
- University of California Los Angeles
- University of Copenhagen
- University of Groningen
- University of Massachusetts
- University of Michigan
- University of New Mexico
- University of North Texas at Dallas
- University of Oslo
- University of Pennsylvania
- Washington University in St. Louis
- ; Imperial College London
- ; Swansea University
- AcademicTransfer
- Amgen Scholars Program
- Auburn University at Auburn
- 90 more »
- « less
-
Field
-
tasks. You will be collaborating with a small team at Imperial College led by Dr Edward Johns, as well as a larger team across the UK as part of the ARIA-funded Robot Dexterity programme (see: https
-
Dr Edward Johns, as well as a larger team across the UK as part of the ARIA-funded Robot Dexterity programme (see: https://www.aria.org.uk/opportunity-spaces/smarter-robot-bodies/robot-dexterity
-
and maximize model performance and generalizability. Optimize data processing and retrieval workflows to minimize latency and maximize throughput, leveraging parallel processing, caching, and other
-
management of a state-of-the-art medical imaging research data center. The environment includes a robust multi-CPU/GPU architecture with virtual and physical servers, supporting advanced parallel computation
-
collaborating with a small team at Imperial College led by Dr Edward Johns, as well as a larger team across the UK as part of the ARIA-funded Robot Dexterity programme (see: https://www.aria.org.uk/opportunity
-
treatment. It is advantageous if you have previously worked with massively parallel sequencing (NGS), both in the laboratory and/or with bioinformatics, for example Single Cell RNAseq. It is also advantageous
-
to increase catalyst activity and selectivity. The computational part of the project will investigate relevant reaction paths and evaluate spectroscopic signatures that can be compared to a parallel
-
visualisation, and programming languages like Python or R, along with understanding of data management and machine learning; exemplary experience and confidence in undertaking all aspects of stakeholder
-
. The candidate will be embedded within this program, working in parallel with a multidisciplinary team designing a ruggedised mobile CT scanner in collaboration with Micro-X Inc., while engaging closely with
-
-source programming framework SkePU for heterogeneous parallel systems. The work includes participation in the regular project meetings and can also include technical meetings with our industry partners in