Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
, or glaciology. We invite applicants to highlight experience with spatial analysis tools, such as GIS, or other quantitative approaches, which could include modeling or AI. The teaching load is three courses per
-
tissue using genetic mouse models, functional screens, and single cell and spatial omics technologies. More details about the laboratory: https://www.ibt.cas.cz/en/research-laboratories/laboratory
-
experience of quantitative environmental data analysis, including climate data, ecological or forest inventory data, and/or spatial data sets, and skills in statistical analysis and data processing using tools
-
Commission we are looking for a Phd candidate to analyze urban trends. Using detailed spatial data, you will analyze changes in the physical manifestation of cities. So, how does the urban area develop because
-
Department of Geography and Spatial Planning (https://dgeo.uni.lu ) and participate to its activities Your profile Master's degree in human geography, spatial economics, or a quantitative social science field
-
Laura Cantini, develops artificial intelligence tools for the integrative analysis of multiple single-cell data modalities, including scRNA-seq, scATAC-seq, and spatial transcriptomics. The team is part
-
-index tomography experimental setup, including optical alignment, calibration, and performance evaluation. Conduct quantitative performance analysis of the system, including spatial resolution, phase
-
TLDR: Build the model backbone for the next era of AI-powered spatial biology. Please include a cover letter with your application detailing your qualifications and experience for this position
-
. The position combines offshore fieldwork, laboratory analysis and modelling, with clear pathways to publication and impact. The outputs of this role will directly inform MOSAIC’s coordinated conservation
-
spatial and temporal data analysis using advanced machine learning technologies. The successful candidate will become a part of an interdisciplinary team working to develop machine learning techniques