Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Employer
- Nature Careers
- University of Sheffield
- ;
- Monash University
- University of Southern Denmark
- University of Groningen
- Fraunhofer-Gesellschaft
- Technical University of Munich
- Grand Canyon University
- NIST
- Nanyang Technological University
- Technical University of Denmark
- The Ohio State University
- Durham University
- Fred Hutchinson Cancer Center
- McGill University
- Stanford University
- University of Washington
- Carnegie Mellon University
- Cornell University
- European Space Agency
- Georgetown University
- Linköping University
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- NEW YORK UNIVERSITY ABU DHABI
- University of British Columbia
- University of North Carolina at Chapel Hill
- University of Oslo
- Cranfield University
- Curtin University
- Ghent University
- Harvard University
- NTNU - Norwegian University of Science and Technology
- Northeastern University
- Umeå University
- University of Lund
- Aalborg University
- Texas A&M AgriLife
- Texas A&M University System
- The University of Chicago
- UNIVERSITY OF SURREY
- University of Adelaide
- University of Birmingham
- University of Bristol
- University of Central Florida
- University of Glasgow
- University of Miami
- University of Nebraska–Lincoln
- University of Nottingham
- University of Surrey
- ; Newcastle University
- AALTO UNIVERSITY
- Auburn University
- CNRS
- California Institute of Technology
- Cardiff University
- Case Western Reserve University
- DAAD
- Delft University of Technology (TU Delft)
- Duke University
- Flinders University
- Forschungszentrum Jülich
- Heriot Watt University
- ICN2
- Leibniz
- Lunds universitet
- Max Planck Institute for Brain Research, Frankfurt am Main
- Nottingham Trent University
- Rochester Institute of Technology
- SUNY University at Buffalo
- SciLifeLab
- Singapore Institute of Technology
- Swansea University
- Temple University
- University of Alabama, Tuscaloosa
- University of Antwerp
- University of Bergen
- University of California, San Diego
- University of Oklahoma
- University of Oxford
- University of South Carolina
- University of South-Eastern Norway
- VIB
- Wageningen University and Research Center
- ; Brunel University London
- ; University of Leeds
- ; University of Sheffield
- AIT Austrian Institute of Technology
- Aarhus University
- Aston University
- Austin Community College District
- Babson College
- Baylor College of Medicine
- Birmingham City University
- Boston University
- Brookhaven Lab
- Brookhaven National Laboratory
- CWI
- California Baptist University
- 89 more »
- « less
-
Field
-
. This research project has a dual focus. On the one hand, you will be involved in analysis of spatial, single-cell and multi-omics data to efficiently characterize the different molecular layers. This will be done
-
particle (SEP) events. The project is a joint collaboration of Algorithmics and Computational Intelligence research group at the Department of Computing and Space Research Laboratory at the Department
-
Automated Generation of Digital Twins of Fractured Tibial Plateaus for Personalized Surgical plannin
currently relies solely on the surgeon’s expertise [2]. Unlike scheduled orthopedic procedures, trauma surgery has seen little integration of artificial intelligence in preoperative planning. Currently
-
, modelling and simulation of photonic systems, sensor systems, signal processing and device manufacturing, development of machine learning algorithms, and design of optical communication networks or power
-
of deep learning algorithms. Outstanding programming skills in Python. Extensive experience working on one or more of the following areas: image processing, machine learning, and patient records. Track
-
a Research Engineer to help us develop the next generation of autonomous systems and algorithms for Earth and space applications. Our group doesn't just develop new theories, but puts them to the test
-
of algorithms and digital neuromorphic hardware is an additional avenue for enhancing the efficiency of the methods. In this context the research will explore digital, event-based implementations
-
on the development, optimization, and clinical evaluation of new x-ray-based imaging methods. The lab focuses on the use of medical physics approaches to improve image acquisition methods and processing algorithms
-
, reconstruction algorithms, and data acquisition techniques to ensure high-quality inputs. Collaborate with clinicians: Work with medical specialists to validate the clinical utility of your algorithms and ensure
-
methodology will involve the development of mathematical models for signal transmission and reception, derivation of fundamental performance limits, algorithmic-level system design, and performance evaluation