Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Chalmers University of Technology
- University of Lund
- Nature Careers
- Swedish University of Agricultural Sciences
- SciLifeLab
- Umeå University
- Linköping University
- Linnaeus University
- Lulea University of Technology
- Mälardalen University
- Örebro University
- Jönköping University
- Blekinge Institute of Technology
- Karlstad University
- 4 more »
- « less
-
Field
-
. Programming skills in R is a requirement, and programming skills in dynamic modelling in other languages is a merit. Fluency in spoken and written English is a requirement. Qualifications: PhD degree in ecology
-
. The models will be based on eco-evolutionary theory and informed with ecological and evolutionary data from public databases and published papers. This combined theoretical and data driven approach includes
-
two-year scholarship. Duties: Expected tasks include (1) data curation and statistical analyses of already acquired agronomic data from forage cultivars, species, and crop rotations (2) managing and
-
to the development of ongoing research. This will include the integration, modelling, and advanced statistical analyses of large genetic, ecological, and environmental data sets. The successful candidate is also
-
will join a multidisciplinary research program that combines experimental models, patient-derived materials, and advanced technologies to explore the mechanisms that preserve auditory system homeostasis
-
to emerging digital technologies Interplay between technology development and business model evolution - how advancements in technologies reshape value creation and value capture, necessitating continous
-
spinal cord as a model system. You will engage a systematic strategy to identify these mechanisms by generating innovative mouse genetic strains, identifying embryonic defects and the underlying molecular
-
This multidisciplinary position is part of a WASP NEST (Novelty, Excellence, Synergy, Teams) project focused on advancing generative models and perceptual understanding in computer vision. The
-
-pathogen interaction models, antimicrobial peptides, or CRISPR-based systems. You have experience of insect models or RNAi-based screening. You have experience of functional delivery assays (e.g., in
-
methods, technologies, and materials to reduce reliance on unsustainable practices and fossil fuel-based compounds as a response to societal requests for green alternatives that maintain high performance