Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Curtin University
- Nature Careers
- DAAD
- Technical University of Denmark
- Technical University of Munich
- Cranfield University
- Humboldt-Stiftung Foundation
- Leibniz
- ; City St George’s, University of London
- CWI
- Forschungszentrum Jülich
- KINGS COLLEGE LONDON
- La Trobe University
- McGill University
- NTNU - Norwegian University of Science and Technology
- Swinburne University of Technology
- University of Luxembourg
- University of Southern Denmark
- Université Laval
- ;
- ; Durham University
- ; University of Leeds
- ; University of Warwick
- Ariel University
- 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 •
- Linköping University
- Ludwig-Maximilians-Universität München •
- Max Planck Institute for Biogeochemistry, Jena
- 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 Copenhagen
- University of Lethbridge
- University of Minnesota
- University of Utah
- University of Warwick
- Universität Hamburg •
- VIB
- Østfold University College
- 51 more »
- « less
-
Field
-
- and time-specific innervation that extends into adolescence. Our lab has used whole-brain tissue clearing, light-sheet imaging, and machine learning to map the spatial and temporal dynamics of serotonin
-
focus will be on biomechanics, image processing, machine learning (ML), artificial intelligence (AI), and metrology, the student will also contribute to the co-design of cadaver experiments and data
-
/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning packages
-
and curate LC-MS/MS data for high-quality feature extraction Design and train machine-learning models for mass spectrometry and chemometric data Integrate multi-omic data including genomics and
-
domains are e.g., signal-/image processing, artificial intelligence and machine learning. Tasks: research and development in designing and programming field programmable gate arrays (FPGAs) for accelerating
-
advanced computational analysis of large-scale neural recordings. What you would be doing: Process and analyse large-scale calcium imaging datasets from multisensory experiments, including neural responses
-
methods including machine learning methods to integrate genomics, transcriptomics and epigenomics data set to uncover genomic-epigenomic interactions and cancer evolution trajectories. The tasks will
-
of machine learning frameworks Your research will include using models and codes to investigate the optimized design, integration, and intelligent operation of thermal energy storage systems in industrial
-
international collaborations with clinicians, regulators, policymakers, and industry partners. You must have a strong background in machine learning, computer vision, and medical image analysis, with publications
-
. Candidates should have excellent programming, communication, and organizational skills. Ideally, candidates should have previous knowledge of image processing, statistics, and machine learning/AI, and