Sort by
Refine Your Search
-
Employer
-
Field
-
, within the Department of Social Sciences, Technology and Arts at Luleå University of Technology. More information is available on our website: www.ltu.se/arbetsvetenskap. As a postdoctoral researcher, you
-
have research experience in the field of Chlamydia-host cell interactions, including practical experience in handling human cells cultures, conducting cell culture infection experiments with C
-
with in vivo calcium imaging (either neurons or glia) Experience with microglia biology or neuroimmune interactions Behavioral experiments Solid data analysis skills (e.g., MATLAB or Python for calcium
-
, and evolutionary genomics using state-of-the-art long-read sequencing and computational genomic approaches. The successful candidate will work closely with collaborators at other SLU campuses, the Royal
-
Postdoctoral fellow within Microglia–Neural Circuit Interactions in Memory and Disease (PA2026/2262)
with in vivo calcium imaging (either neurons or glia) Experience with microglia biology or neuroimmune interactions Behavioral experiments Solid data analysis skills (e.g., MATLAB or Python for calcium
-
are looking for a researcher fascinated by the interactions of ecological, biogeochemical, and physical processes that shape the responses of the carbon cycle to global change and the implementation
-
to convert biomass into valuable products. We use advanced computational technologies to discover how biomolecules and organisms function and interact. We pioneer new methods for prediction, prevention
-
to unforeseen stress D. Multitrophic interaction networks as drivers of competitor coexistence under global change E. From training load to adaptation: Modeling of stress, resilience, and performance in elite
-
of molecular networks in cancer to advance precision medicine. By integrating high-throughput data (e.g. transcriptomics, proteomics, metabolomics) with prior knowledge of molecular interactions, we construct
-
prompting logic, data transformation flows, retraining mechanisms, and explainability scaffolding. Analyze the interaction between architectural decisions and design-level tradeoffs in AI-intensive systems