Sort by
Refine Your Search
-
perception, and validate experimental results using real-world data obtained with citizen science. The project will also model the effects of nature on time perception at the landscape scale under different
-
collaborators across the Nordics, Baltics and Europe present a fantastic opportunity to pursue your own ambitious research goals. Our other research directions of interest include privacy of AI models trained
-
Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description We are looking for a motivated postdoctoral researcher to model
-
new characterization techniques. The research needs to be connected and communicated within the project and length-scale bridging modelling tasks are included. Part of the project collaboration happens
-
and experimental models. Our research focuses on combining large-scale molecular data - including metabolomics, lipidomics, genomics, proteomics, glycomics, and microbiome data - with advanced
-
during cancer, inflammatory diseases, and vaccination. The successful candidate performs laboratory experiments, including in vivo models, analyzes tissue and cell samples using imaging and omics
-
model is applied, with regular on-site presence required. The role involves some travel between LUT campuses and to international conferences. The position follows a system of 1,612 annual working hours
-
‑classical algorithms to tackle domain‑specific, computationally demanding problems. Methods will be designed for near‑term (NISQ‑era) deployment, with models evaluated for expressivity, training stability
-
of Helsinki, Finland working in the research groups of Prof. Craig Primmer and Dr. Tutku Aykanat (http://www.helsinki.fi/evolution-conservation-and-genomics ) as a part of several related research consortia
-
). The position will focus on computational analysis and modeling of links between human microbiome and cancer. The selected candidate will develop and apply data science methods, contribute to data processing