Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
PhD Studentship: Distributed and Lightweight Large Language Models for Aerial 6G Spectrum Management
with transformer-based architectures. Then, a novel embedding technique will be designed to map high-dimensional wireless network parameters into a compact vector space modelling, where temporal, spatial
-
. We welcome applicants with a PhD (or equivalent) in biostatistics, statistics, or a closely related quantitative field. We seek scholars with training in biostatistics/statistics and demonstrated
-
://past2future.org ) with 24 partners. It has recently been funded by the EU horizon program. The aim of the position’s subproject here is to use latest spatially downscaled climate model results for the past (mainly
-
of Sustainability and Planning https://vbn.aau.dk/en/persons/jja This position is specificallyaboutmodellingcascading and compound impacts of climatechange on future Danish land use in which spatial data analytics
-
(100%) Published: 26.11.2025 Limitation:Temporary (2 years) Contract:TV-L Your tasks Analyse spatial transcriptomic and image datasets Develop predictive models for diagnostic purposes Design research
-
analytical models. A deep understanding of environmental systems, spatial data processing, and the integration of multi-source information will be essential to ensure high-quality, science-based outcomes
-
://cluster-ia-enact.ai/). More info about the call: https://tinyurl.com/enact-call What we are looking for: A bioinformatician, cancer biologist, pharmacist or medical doctor with PhD or MD-PhD with solid
-
biology to pioneer research in immunology using single-cell and spatial transcriptomics data. The focus will be on development of novel computational methods for gaining fundamental insights into healthy
-
editing, mouse modeling, iPSC disease modelling, cell sorting, live cell imaging, spatial and single cell omics modalities, and advanced image processing and analysis, amongst a variety of other specific
-
information, for example data derived from remote sensing, use point process models from the field of spatial statistics to model clustered patterns across the landscape, and develop methods for estimating