Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- University of Oslo
- Imperial College London
- University of Bergen
- University of British Columbia
- ;
- Princeton University
- Nanyang Technological University
- Nature Careers
- UiT The Arctic University of Norway
- University of California
- University of Michigan
- University of New South Wales
- University of South-Eastern Norway
- University of Stirling
- University of Texas at Austin
- AbbVie
- Harvard University
- King Abdullah University of Science and Technology
- Macquarie University
- National University of Singapore
- Singapore Institute of Technology
- University of Maryland, Baltimore
- University of Stavanger
- Vanderbilt University
- 14 more »
- « less
-
Field
-
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
-
the Research Council of Norway. In this project, we will use advanced time-lapse imaging, numerical simulations, and reactive mixing theories to better understand and predict the role of fluid mixing as a driver
-
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
-
untargeted LC-MS analyses of biological samples. Experience with imaging methods such as IncuCyte, confocal microscopy and FLIM, for the analysis of subcellular cofactor concentrations using fluorescent
-
two-photon calcium imaging and/or Neuropixels electrophysiology. A strong background in analytical and/or statistical analysis, along with proficient programming and coding skills, is essential
-
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
-
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
-
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
-
diffraction (EBSD), energy dispersive microscopy (EDS), image quantification, correlative microscopy, and electron probe microanalysis (EPMA). Prior experience is desirable but not required given a strong
-
of the projects. Basic knowledge in coding language, including but not limited to, basics of Linux, MATLAB, Python. Ability to carry out both wet-lab work for sample preparation and dry-lab work for image analysis