Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
are enhancing our oncology research capabilities by establishing dedicated Target Discovery teams within each of our oncology research units: Immuno-Oncology, Antibody Drug Conjugates (ADC), and Cancer Genomics
-
are enhancing our oncology research capabilities by establishing dedicated Target Discovery teams within each of our oncology research units: Immuno-Oncology, Antibody Drug Conjugates (ADC), and Cancer Genomics
-
are enhancing our oncology research capabilities by establishing dedicated Target Discovery teams within each of our oncology research units: Immuno-Oncology, Antibody Drug Conjugates (ADC), and Cancer Genomics
-
are enhancing our oncology research capabilities by establishing dedicated Target Discovery teams within each of our oncology research units: Immuno-Oncology, Antibody Drug Conjugates (ADC), and Cancer Genomics
-
these changes affect ecosystem functions. To extend these analyses to new types of data and questions, we develop state-of-the-art hierarchical Bayesian methodology. We also actively apply our research to more
-
Requirements An ideal candidate will also have experience in modelling of insect dispersal and/or climatic suitability analysis and Bayesian statistics. Previous involvement in acquiring research funding will be
-
or food safety risk assessment, toxicology and/or Bayesian statistics. Previous involvement in acquiring research funding will be considered as merit. The position requires excellent written and verbal
-
these changes affect ecosystem functions. To extend these analyses to new types of data and questions, we develop state-of-the-art hierarchical Bayesian methodology. We also actively apply our research to more
-
, we develop state-of-the-art hierarchical Bayesian methodology. We also actively apply our research to more applied questions such as environmental management and risk assessment. For more information
-
employment. Position description The successful candidate will work within the research project “Advances in generalized Bayesian inference via differential-geometric methods” funded by the Research Council