Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Nature Careers
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Argonne
- Stanford University
- Technical University of Denmark
- University of Lund
- University of Oxford
- Yale University
- CNRS
- Carnegie Mellon University
- Heriot Watt University
- Institut Pasteur
- Princeton University
- University of Minnesota
- ;
- ; Xi'an Jiaotong - Liverpool University
- Aarhus University
- CEA
- Emory University
- Harvard University
- KINGS COLLEGE LONDON
- King's College London
- Linköping University
- New York University
- Northeastern University
- Ohio University
- RCSI - Royal College of Surgeons in Ireland
- Reykjavik University
- Rutgers University
- Technical University of Munich
- The Ohio State University
- The University of Arizona
- Universitaetsklinikum Erlangen
- University of Bath
- University of California Irvine
- University of Chicago
- University of Colorado
- University of Delaware
- University of Groningen
- University of Houston Central Campus
- University of Luxembourg
- University of Minnesota Twin Cities
- University of Nebraska Medical Center
- University of Nevada Las Vegas
- University of North Carolina at Chapel Hill
- University of Oklahoma
- University of Washington
- VIB
- Vanderbilt University
- Virginia Tech
- 40 more »
- « less
-
Field
-
computer vision. Experience with multi-modal data fusion and alignment techniques. Experience with spatial transcriptomics or other -omics data analysis. Proficiency in Python programming and scientific
-
on developing advanced new algorithms, testing and validation, and applications in medical neuroimaging and non-imaging modalities. The candidate will contribute to the overall research goals and objectives
-
of various psychopathologies and the target engagement by various intervention modalities. Clinical study design, neuroimaging study design, data collection, data analysis, and interpretation of data
-
deep learning approaches on a wide variety of clinical data modalities, such as structured data, imaging and testing data, and free-text clinical notes. The researcher will have the opportunity to work
-
discovery, scientific programming and genetic analysis. We encourage applications also from candidates with little background in biology or medicine, and a keen interest to learn. Recent publications: Clarke
-
and implementation of data systems and analysis platforms with the platform development team (developers, data managers, scientists) Supporting strategic planning and integration of new data modalities
-
and to users Validating predictive models in close collaboration with clinical partners, and interfacing image-based models with other modalities Writing and presenting scientific work at top
-
profiled and their associated target phenotypes in selected crops subjected to drought and salt stresses. This will be a key step in determining editing modalities. Therefore, the ideal candidate will be
-
processes, Bayesian inference, signal models, sampling theory, sensing techniques, optimisation theory and algorithms, multi-modal data processing, high-performance computing, mathematical image analysis
-
, sensing techniques, optimisation theory and algorithms, multi-modal data processing, high-performance computing, mathematical image analysis, geometric modelling, acoustic signal propagation, Monte Carlo