Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Cranfield University
- Technical University of Munich
- ;
- Technical University of Denmark
- DAAD
- Forschungszentrum Jülich
- Nature Careers
- University of Groningen
- Curtin University
- Fraunhofer-Gesellschaft
- Ghent University
- Monash University
- NTNU - Norwegian University of Science and Technology
- ; The University of Manchester
- University of Southern Denmark
- Aalborg University
- Chalmers University of Technology
- RMIT University
- Umeå University
- University of Adelaide
- University of Nottingham
- University of Twente
- Vrije Universiteit Brussel
- ; Swansea University
- Radboud University
- SciLifeLab
- University of Southern Queensland
- ; Newcastle University
- ; Technical University of Denmark
- ; University of Cambridge
- ; University of Leeds
- Erasmus University Rotterdam
- Linköping University
- Trinity College Dublin
- University of British Columbia
- University of Cambridge
- University of Copenhagen
- Wageningen University and Research Center
- ; Aston University
- ; Brunel University London
- ; Ecole polytechnique federale de Lausanne - EPFL
- ; University of Birmingham
- ; University of Bristol
- ; University of East Anglia
- ; University of Essex
- ; University of Exeter
- ; University of Oxford
- ; University of Sheffield
- ; University of Southampton
- ; University of Surrey
- ; University of Warwick
- ; University of York
- Aarhus University
- Blekinge Institute of Technology
- Copenhagen Business School , CBS
- Deutsches Elektronen-Synchrotron DESY •
- EPFL
- Ecole Polytechnique Federale de Lausanne
- Harper Adams University
- Helmholtz-Zentrum Geesthacht
- Institut Pasteur
- Leibniz
- Leiden University
- Lulea University of Technology
- Max Planck Institute for Molecular Genetics •
- Max Planck Institutes
- Newcastle University
- Prof. Ruilin Pei and Shenyang University of Technology
- Queensland University of Technology
- Saarland University •
- University of Antwerp
- University of Bern
- University of Bremen •
- University of Oslo
- University of Tübingen
- Uppsala University
- 66 more »
- « less
-
Field
-
of scientific data, e.g. from image acquisition modalities or scientific simulations. Efficient algorithms are at the core of most of these data analysis and visualization applications. The focus of this Ph.D
-
Dortmund, we invite applications for a PhD Candidate (m/f/d): Analysis of Microscopic BIOMedical Images (AMBIOM) You will be responsible for Developing new machine learning algorithms for microscopy image
-
formulation, which displays striking similarities to that used by the Computational Fluid Dynamics (CFD) community, has inspired the investigators to adopt conventional CFD algorithms in the novel context
-
quantitative analysis skills and experience developing algorithms and/or conducting statistical analyses with biological datasets. Background and work knowledge in statistics, algorithms, optimization of novel
-
. Real-World Validation: Deploy and benchmark your algorithms on our autonomous vehicle, mobile robots, and UAV testbeds. You will: Publish in CVPR/ICCV/ECCV, NeurIPS/ICLR, INFOCOM/ISIT and leading IEEE
-
learning and data analysis experts. The main tasks include the analysis of complex biomedical data using modern AI methods, as well as the development of novel machine and deep learning algorithms
-
developments such as novel algorithms to support logistics operations, novel automation approaches or the design and development of new digital support tools for logistics providers. Significant flexibility will
-
. These problems have been compounded by the emergence of Artificial Intelligence. New forms of algorithmic manipulation have been used to sow discord in democratic societies, undermine trust in politics, and erode
-
developments such as novel algorithms to support logistics operations, novel automation approaches or the design and development of new digital support tools for logistics providers. Significant flexibility
-
sustainability. The research will delve into power-aware computing strategies, thermal management, and the development of algorithms that balance performance with energy consumption. Students will aim to create