Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- ;
- Nanyang Technological University
- University of Oslo
- King Abdullah University of Science and Technology
- Nature Careers
- Singapore University of Technology & Design
- University of Bergen
- University of Michigan
- Harvard University
- Indiana University
- National University of Singapore
- Singapore Institute of Technology
- UiT The Arctic University of Norway
- Universidade de Aveiro
- University of Birmingham
- University of British Columbia
- Brunel University
- Carnegie Mellon University
- City of Hope
- Cold Spring Harbor Laboratory
- GEORGETOWN UNIVERSITY
- Georgetown University
- Hong Kong Polytechnic University
- James Cook University
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- UNIVERSITY OF SURREY
- University of Adelaide
- University of Michigan - Ann Arbor
- University of Otago
- University of Texas at Austin
- Zintellect
- 21 more »
- « less
-
Field
-
developing new inverse modelling (‘retrieval’) methods to extract 3D information from JWST secondary eclipse observations. The models will be applied to JWST observations of giant transiting exoplanets
-
fellow to join the 3D Stem Cell Biology Research Lab (https://www.hashinolab.com ) and study normal and pathological development of the human inner ear using stem cell-derived organoids as a model system
-
instruments • Experiences in microfluidics, microfabrication • Experiences in CAD, 3D drawing, and modeling • Good track record of scientific publications • Excellent written and oral
-
dispensing) Experiences in the design and manufacturing of scientific instruments Experiences in microfluidics, microfabrication Experiences in CAD, 3D drawing, and modeling Good track record of scientific
-
, key Arctic geological archives of past warmth and employ climate models to bring our current knowledge about a warm Arctic beyond the state-of-the-art. The major strength and aim of i2B
-
resting conditions. The researcher will use a combination of synovial tissue organoid systems and transgenic mouse models to delineate the role of the proteoglycan-4 (the gene that encodes lubricin) in
-
/rehabilitation applications. It is expected that the application has the knowledge of: 1) deep learning, large AI models, large language models; 2) the rendering techniques for generating human body animations
-
healthy resting conditions. The researcher will use a combination of synovial tissue organoid systems and transgenic mouse models to delineate the role of the proteoglycan-4 (the gene that encodes lubricin
-
“greenhouse” (warmer than present) conditions. In i2B we will retrieve new, key Arctic geological archives of past warmth and employ climate models to bring our current knowledge about a warm Arctic beyond the
-
and cancer. Ultimately, we aim to mitigate the pathogenesis and develop treatments for chronic metabolic diseases. We have established unique, comprehensive mouse models for: 1) real-time labeling and