Sort by
Refine Your Search
-
Category
-
Country
-
Employer
- University of Oslo
- Harvard University
- Nanyang Technological University
- University of British Columbia
- City of Hope
- Dana-Farber Cancer Institute (DFCI)
- University of Birmingham
- University of Nottingham
- Naturalis
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- UNIVERSITY OF MELBOURNE
- UiT The Arctic University of Norway
- University of Bergen
- American University
- Duke-NUS
- Florida International University
- Francis Crick Institute
- Indiana University
- Institute for Translational Medicine and Liver Disease
- Instituto de Geografia e Ordenamento do Território da Universidade de Lisboa
- Mayo Clinic, Rochester
- NTNU - Norwegian University of Science and Technology
- OCAD University
- QUEENS UNIVERSITY BELFAST
- Queen's University Belfast
- Stephen & Denise Adams Center for Parkinson's Disease at Yale School of Medicine
- The University of Queensland
- The University of Southampton
- UCL;
- UNIVERSITY OF SOUTHAMPTON
- Universidade do Minho
- University of California
- University of Colorado
- University of Idaho
- University of Maryland, Baltimore
- University of Michigan
- University of Nottingham;
- University of Southampton;
- University of Stavanger
- University of Sydney
- University of Texas at Austin
- Université de Strasbourg
- 32 more »
- « less
-
Field
-
Have you completed your PhD? Are you eager to enrich knowledge on biodiversity as a postdoc? Then Naturalis in Leiden is the place for you. Pursuing a postdoc at Naturalis means working on research
-
tissue models and spatial transcriptomics in the laboratory of Professors Ian Sayers and Ian Hall (Biodiscovery Institute, University of Nottingham, UK). In this highly collaborative project involving the
-
spatial omics, genetically engineered mouse models and clinically annotated human cohorts to understand the molecular mechanisms driving rare kidney cancers. The successful candidate will benefit from state
-
focused on using spatial profiling and machine learning of human specimens in combination with functional experiments in animal models to understand cancer initiation, progression, and metastasis. We
-
for extension to 36 months. The Research Fellow will support the development of GIS-based decision-support-tools for spatial planning, and cumulative effects assessment (CEA) of offshore wind (OW). The role will
-
insights, and applying appropriate AI models for geospatial analysis based on the integrated data. This role is part of the project: Decision-support-tools for Spatial Planning and Cumulative Effects
-
materials. · Generate quantitative measurements of cell proliferation, survival, differentiation, lineage state, spatial organization, and competitive fitness for use in model development and
-
model for innovative medical education and a centre for transformative research. The School’s primary clinical partner is the National Healthcare Group, a leader in public healthcare recognised
-
heterogeneous data (free text, structured records, images, audio), including locally hosted and fine-tuned large language models computer vision for biological and medical imaging, including three-dimensional
-
assigned by Supervisor. Requirements PhD in Computer Science or related field Expertise in computer vision and vision-language models Experience with ML evaluation metrics and benchmarking Proficiency in