Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- University of Bergen
- University of British Columbia
- University of Oslo
- ;
- Princeton University
- University of Texas at Austin
- Harvard University
- National University of Singapore
- Nature Careers
- UiT The Arctic University of Norway
- University of Stirling
- AbbVie
- Hong Kong Polytechnic University
- King Abdullah University of Science and Technology
- NTNU - Norwegian University of Science and Technology
- Singapore Institute of Technology
- The University of Queensland
- University of California
- University of Leeds
- University of Maryland, Baltimore
- University of Michigan
- University of South-Eastern Norway
- 12 more »
- « less
-
Field
-
will have experience with zebrafish models, light stimulus design, hyperspectral imaging, and behavioural monitoring. You will be adept in coding and analysis using tools such as MATLAB and Python
-
(this overlaps with the former themes as 2D and 3D vision is often integrated with language). Related papers by the Vision-CAIR members Theme A : Aligning Latent and Image Spaces to Connect
-
circumstances and is a postdoctoral role under SOC code 2119. The University of Stirling recognises that a diverse workforce benefits and enriches the work, learning and research experiences of the entire campus
-
, hybrid, and highly collaborative lab. This computational genomics postdoctoral fellow candidate is expected to leverage the single-cell/bulk-cell multi-omics data, spatial omics data, and image data
-
methods Experience analysing RNAseq and/or high throughput imaging data Experience handling human post-mortem tissue Experience writing/using computer code Experience supervising postgraduate students and
-
subject to a satisfactory outcome of this process. For the purposes of sponsorship, this role may be eligible depending on candidate circumstances and is a postdoctoral role under SOC code 2119
-
mechanisms underlying gene regulation within immunological disease models. This will include pooled and arrayed CRISPR screens in combination with the interrogation of coding and non-coding human genetic
-
) high-resolution laboratory experiments of CO2 storage, and (iii) multi-scale image analysis of laboratory data. About the work tasks The appointed candidate will mainly contribute to the first main
-
large AI models or their applications. Current PLI projects involve work with language, images, multimodal data, science/math, code, and scientific data. PLI is also focused on AI safety, fairness, and
-
of three topics: 1. Combining synthetic aperture radar (SAR) images with probabilistic weather prediction models to view and predict dynamic sea ice properties. 2. Using multi-frequency SAR, coupled with in