Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
&ProjectId=145537… Requirements Research FieldBiological sciences » BiologyEducation LevelPhD or equivalent Skills/Qualifications Experience with Danish health registries and large population-based data
-
laboratory imaging techniques on PV modules to large scale field inspections. You will contribute to the development of daylight electroluminescence and photoluminescence inspections together with data-driven
-
and applying genetic and genomic approaches to biodiversity research. This includes integrating environmental DNA (eDNA) and molecular tools with ecological data to enhance our ability to assess
-
Foundation RECRUIT grant ("Data Management, Algorithms, & Machine Learning for Emerging Problems in Large Networks – with Interdisciplinary Applications in Life & Health Sciences". NNF22OC0072415
-
these new large-scale data sources to develop new approaches for analysis of microbial horizontal gene transfer using long-read metagenomics in complex environments. The postdoc will be part of the Microbial
-
societal impact. The Department of Electronic Systems employs more than 200 people, of which about 90 are PhD students, and about 40 % of all employees are internationals. In total, it has more than 600
-
of BSc, MSc and PhD students assist in experimental teaching activities (lab courses) As a formal qualification, you must hold a PhD degree (or equivalent). Extensive experience in cleanroom-based micro
-
Experience with writing scientific publications Experience in working with contaminants like PFAS, PCBs and mercury, fatty acids, stable isotopes and modelling in R A talent for working with large data sets
-
medicine. The Department of Biomedicine provides research-based teaching of the highest quality and is responsible for a large part of the medical degree programme. Academic staff contribute to the teaching
-
and applying genetic and genomic approaches to biodiversity research. This includes integrating environmental DNA (eDNA) and molecular tools with ecological data to enhance our ability to assess