Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nature Careers
- Curtin University
- DAAD
- Technical University of Munich
- Humboldt-Stiftung Foundation
- Leibniz
- ; City St George’s, University of London
- CWI
- Cranfield University
- Forschungszentrum Jülich
- KINGS COLLEGE LONDON
- La Trobe University
- McGill University
- NTNU - Norwegian University of Science and Technology
- Swinburne University of Technology
- Technical University of Denmark
- University of Luxembourg
- University of Southern Denmark
- Université Laval
- ; Durham University
- ; University of Warwick
- Arts et Métiers Institute of Technology (ENSAM)
- Brookhaven Lab
- CNRS
- Claremont Graduate University
- Cornell University
- Deutsches Elektronen-Synchrotron DESY •
- Erasmus MC (University Medical Center Rotterdam)
- Erasmus MC (University Medical Center Rotterdam); Rotterdam
- Fraunhofer-Gesellschaft
- Ghent University
- Hannover Medical School •
- Human Technopole
- Imperial College London
- Karlsruhe Institute of Technology •
- Ludwig-Maximilians-Universität München •
- Max Planck Institute for Human Cognitive and Brain Sciences •
- Max Planck Institute for Multidisciplinary Sciences, Göttingen
- Max Planck Institute for Sustainable Materials •
- Monash University
- National Research Council Canada
- Nord University
- Queensland University of Technology
- TU Dresden
- Technische Universität Berlin •
- UCL
- Umeå University
- Umeå universitet
- University of Cambridge;
- University of Lethbridge
- University of Minnesota
- University of Twente (UT)
- University of Utah
- University of Warwick
- Universität Hamburg •
- VIB
- 46 more »
- « less
-
Field
-
learning, or signal processing; familiarity with microscopy data is an asset but not required Interest in foundational machine learning research with applied impact in scientific imaging Demonstrated
-
engineering, electrical engineering, data science, or a related field. Skills in embedded systems development, electronics, or IoT (C/C++, Python, Arduino/ESP32, etc.) OR in machine learning and sensor data
-
about biomedical research or cell biology? Ready to make groundbreaking contributions to understanding ciliopathies through innovative machine learning approaches? Join the Cilia-AI consortium, and embark
-
that exhibit emergent turbulent behaviors, and (2) disordered optical media that process information through complex light scattering patterns. Using advanced imaging, machine learning techniques, and real-time
-
algorithms for optimization Quantum annealing Quantum inspired optimization Quantum machine learning with a special emphasis on classical optimization of QML algorithms Noise mitigation in relation
-
of visualization and multimodal machine learning. Admission requirements The general admission requirements for doctoral studies are a second- cycle level degree, or completed course requirements of at least 240
-
and image analysis (MATLAB or Python), machine learning techniques, and basic programming/coding will be a plus. Fluency in English is mandatory. Willingness to work in an inter-cultural and
-
the opportunity to contribute to collaborative efforts at the interface of data science, imaging, and materials research. You will strengthen the data science and machine learning activities of the IAS-9 with
-
Systems, or a related field. Strong analytical and critical thinking skills. Strong machine learning (ML), computer vision (CV), large language models (LLM) for quantitative data, texts, images, and sensor
-
27 Aug 2025 Job Information Organisation/Company University of Luxembourg Research Field Computer science » Computer systems Researcher Profile First Stage Researcher (R1) Country Luxembourg