Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
, the successful applicant will analyze integral-field spectroscopy (IFS) data of starburst galaxies, with a primary focus on the spatially resolved star formation history and on the physical properties
-
or computational methods (e.g., remote sensing, spatial analysis, systems or integrated assessment modelling) applied to sustainability. Candidates from other methodological areas with clear environmental and
-
background in machine learning and data analysis Interest in single-cell omics, spatial data, and data integration Intellectual curiosity, independence, and motivation to tackle open-ended problems with real
-
philosophers, including one other PhD student (statistics) and two postdocs (spatial forest ecology and philosophy/social science). The candidate is expected to contribute toward developing wholistic adaptive
-
graduate education in the Department of Geography focuses on the following subfields: (a) Geographic information science: cartography, GIS, data analysis and visualization, spatial analysis and modeling; (b
-
that combines functional, structural, spatial, and temporal information. This enriched representation will support both static validation and dynamic analysis, including the automatic synthesis of timed and
-
The information for the PhD admission is available at TalTech´s web-page: https://taltech.ee/en/phd-admission The following application documents should be sent to taavi.liblik@taltech.ee CV Motivation letter
-
relevance to extraterrestrial environments and future energy strategies. For more information on this project, see: https://copl.ethz.ch/research/research-projects/2025-saar.html Job description The PhD
-
the Experiment grant. The candidate must have: A PhD degree in a relevant field (e.g. Molecular Biology, Neuroscience). A proven track record either in spatial transcriptomics or extracellular vesicle biology. The
-
spatial biology. Please include a cover letter with your application detailing your qualifications and experience for this position. Describe a deep learning project you have executed, ideally a creative