Sort by
Refine Your Search
-
Category
-
Employer
-
Field
-
System at the Department of Electrical Engineering . The Division of Communication Systems conducts research and education in communications engineering, statistical signal processing and network science
-
of relevance: Documented expertise and skills in mathematical modelling of community dynamics is a requirement, and proficiency in statistical time series analyses in community ecology is desirable. Skills in
-
candidate will have a strong background in bioinformatics, statistics, and computational biology, with demonstrated expertise in statistical and bioinformatics software. The ability to thrive in a
-
. Work tasks Statistical analyses of biological data, primarily for herring and cyprinids, collected from the commercial fishery as well as from scientific surveys in the Baltic Sea to assess spatial
-
computational and statistical methods, with demonstrated experience in reproducible and scalable bioinformatics environments. The applicant will work in close collaboration with other Engblom lab team members who
-
computational and statistical methods, with demonstrated experience in reproducible and scalable bioinformatics environments. The applicant will work in close collaboration with other Engblom lab team members who
-
, genotyping, immunohistochemistry, RNA in situ hybridization and statistical analyses. Qualifications The ideal candidate should have a PhD in molecular or developmental biology, neurosciences, photoreceptor
-
transparent models. The Privacy-aware transparency decisions research group (led by Prof. Vicenç Torra) conducts research in data privacy for data to be used for machine and statistical learning. It is well
-
model design and analysis as well as statistical model parametrization and validation techniques. This Postdoc position is part of a five-year research program funded by the Wallenberg Foundation, aimed
-
research experience in phylogenomics. You should have a strong background in bioinformatics, statistical phylogenetics and comparative genomics. Previous experience of working with de novo assemblies and