Sort by
Refine Your Search
-
Employer
-
Field
-
Schildt/NHM 8th April 2026 Languages English English English Natural History Museum Postdoctoral Researcher in Spatial Ecological Modeling and Interdisciplinary Biodiversity Science Apply for this job See
-
Ulla Schildt/NHM 8th April 2026 Languages English English English Natural History Museum Postdoctoral Researcher in Spatial Ecological Modeling and Interdisciplinary Biodiversity Science Apply
-
(MSCA-PF) to pursue a career in research. We invite applications from promising young researchers within the field of Computational Biology & Ecological Modeling. The selected candidate will write a
-
immune receptor sequencing Experience with bioinformatics is an advantage Fluent in spoken and written English Personal skills We are looking for a highly motivated candidate with an outstanding potential
-
receptor sequencing Experience with bioinformatics is an advantage Fluent in spoken and written English Personal skills We are looking for a highly motivated candidate with an outstanding potential and a
-
models for high-dimensional and functional data ”, led by Professor Valeria Vitelli. Successful candidates will work on Bayesian models for unsupervised learning when multiple data sources are available
-
the degree corresponds to the profile of the post. Fluent oral and written communication skills in English Personal suitability and motivation for the position The doctoral dissertation must be submitted
-
researcher in applied philosophy on the topic of biodiversity modeling and governance, under the interdisciplinary Convergence Environment BioM at the University of Oslo (UiO). Employment is scheduled
-
how the degree corresponds to the profile of the post. Fluent oral and written communication skills in English Personal suitability and motivation for the position The doctoral dissertation must be
-
computational modeling. The postdoctoral candidate will: Analyze quantitative molecular and imaging data produced by other members of GENESIS. Develop new machine learning models to identify gene regulatory