Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Nature Careers
- Technical University of Denmark
- ;
- Argonne
- Stanford University
- University of Lund
- University of Oxford
- Yale University
- Carnegie Mellon University
- Heriot Watt University
- Institut Pasteur
- KINGS COLLEGE LONDON
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Princeton University
- UNIVERSITY OF HELSINKI
- University of Minnesota
- University of Nebraska Medical Center
- ; Xi'an Jiaotong - Liverpool University
- Baylor University
- Brookhaven Lab
- Durham University
- Emory University
- Harvard University
- King's College London
- Leibniz
- Northeastern University
- Ohio University
- Rutgers University
- Technical University of Munich
- The Ohio State University
- The University of Arizona
- The University of Chicago
- University of Bath
- University of Bristol
- University of California Irvine
- University of Chicago
- University of Colorado
- University of Copenhagen
- University of Delaware
- University of Houston Central Campus
- University of Luxembourg
- University of Minnesota Twin Cities
- University of Nevada Las Vegas
- University of North Carolina at Chapel Hill
- University of Oklahoma
- University of Southern California
- University of Washington
- VIB
- Vanderbilt University
- Virginia Tech
- 40 more »
- « less
-
Field
-
About the role This Research Assistant post will support data collection and analysis on a longitudinal study of children’s pathways through the healthcare system. We are looking to recruit a
-
, visible, and ultraviolet; acoustic; radio spectrum; magnetic field strength; charged particle count; and environmental sensors. The project aims to conduct an exhaustive, long-term, multi-modal aerial
-
exceptional postdoctoral research fellows interested in developing deep learning and computational methods for pathology image analysis, multimodal data integration, and other medical modalities (e.g
-
(e.g. phonetic, typological, geo-historical, topographical, and sociolinguistic) variably promote or inhibit prosodic convergence between languages in contact, and map findings on a digital multi-modal
-
the sensory coding of orofacial thermal, Chem esthetic, and taste sensations, and cross-modal and multisensory interactions between somatosensory and gustatory signals in the periphery and brain. The Lab’s work
-
patients with medically refractory epilepsy and brain tumour biopsy. This software enables clinicians to use complex multi-modal imaging to inform surgical decisions. Based on the early success of EpiNav
-
biopsy. This software enables clinicians to use complex multi-modal imaging to inform surgical decisions. Based on the early success of EpiNav™ to help improve patient care we are refining and streamlining
-
research tasks investigating navigation and integrity assessment of several aircraft-related sensor modalities. The candidate will be mentored by Dr. Jay Wilhelm (Associate Professor of Mechanical
-
that can sense disease-associated features 2. Cell Therapies for Neuroinflammation and Neurodegeneration - Creating multi-modal cell therapies combining anti-inflammatory and regenerative payloads
-
processes or laws Elicitation of requirements from natural language Applications of declarative specifications (e.g. temporal, modal logics, declarative process models) in the analysis of systems Model-driven