Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- University of Oslo
- Dana-Farber Cancer Institute
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- UCL;
- American University
- Cambridge, University of
- NTNU Norwegian University of Science and Technology
- Nanyang Technological University
- National University of Singapore
- Nature Careers
- OCAD University
- The Francis Crick Institute;
- The University of British Columbia (UBC)
- The University of Southampton
- UiT The Arctic University of Norway
- Umea University
- Universidade do Minho
- University of Algarve
- University of Basel
- University of British Columbia
- University of Colorado
- University of New South Wales
- VIB
- 13 more »
- « less
-
Field
-
tasks. Key Competencies Integrates GIS, remote sensing, and environmental data for spatial modelling. Proficient in or able to learn ecosystem service software (e.g., InVEST, ARIES). Strong analytical
-
vulnerability Single-cell and spatial transcriptomic analysis of treated organoids and tumour Computational modelling of cell state rewiring network Functional validation of identified targets in various tumour
-
uses cutting-edge techniques including single-cell and spatial transcriptomics, proteomics, super-resolution microscopy, in vivo tracking, mouse models, and human patient tissues and iPS-derived cells
-
the molecular signatures of proteostasis loss and identify early markers of proteostatic failure. The role combines wet-lab spatial biology with computational approaches. You will work across models and scales
-
microscopy, spatial transcriptomics and in vitro and in vivo models to study brain tumor cell-cell interactions and the organization of the cancer ecosystem. We strive for highly collaborative and inclusive
-
Doctoral (PhD) Candidate to join the new MSCA Doctoral Network FairCFD (https://www.imft.fr/faircfd/project-presentation/ ). The candidate will enrol for a PhD in Chemical Engineering at the University
-
, the candidate will work in an interdisciplinary team of biologists, statisticians and philosophers, including one other PhD student (statistics) and two postdocs (spatial forest ecology and philosophy/social
-
focus on the conceptualisation and prototyping of spatial data infrastructures and registries for space environments and objects. The role involves research into spatial data models for representing
-
carried out include the pre-processing of spatial and temporal data and the implementation of Machine Learning models for the classification of fishing activity. The grant holder will also support the
-
at https://sites.google.com/view/xiaoyu-song/home . Key Responsibilities: The Research Fellow will undertake both independent and collaborative research, driving innovative projects at the intersection