Sort by
Refine Your Search
-
Listed
-
Employer
- Technical University of Denmark
- Nature Careers
- University of Southern Denmark
- Aarhus University
- University of Copenhagen
- ;
- Aalborg University
- ; Technical University of Denmark
- ; University of Copenhagen
- ; University of Aarhus
- ; University of Southern Denmark
- Copenhagen Business School , CBS
- European Magnetism Association EMA
- 3 more »
- « less
-
Field
-
: PhD in Veterinary Epidemiology or a related field, or demonstrated experience with epidemiology Strong quantitative data analysis skills Applied understanding of epidemiological principles Demonstrated
-
Lonza’s expertise and technology within peptide T cell immunogenicity, and the vast expertise within immunoinformatics and machine learning models at DTU to address this challenge. This will enable
-
will benefit from Lonza’s expertise and technology within peptide T cell immunogenicity, and the vast expertise within immunoinformatics and machine learning models at DTU to address this challenge
-
possible thereafter. The successful candidate will be employed in the Ingredient and Dairy Technology section and will join the Food Proteins Research Group. Application Deadline: 30 May 2025 About the
-
have obtained a PhD degree in a relevant field and have a PhD-age of max 4 years per October 1st , 2024 (parental leave deducted). The postdoc candidate will be affiliated with the Philosophy Section
-
two PhD students in the groups, and your newly developed tools will support the analysis and interpretation of their data. You will interact strongly with several international collaborators, both
-
of Biological and Chemical Engineering invites you to apply for a two year postdoc position. You will be part of the REcovery of extracellular polymers from wastewater Treatment residuals as a New circular
-
date is 1 Januar 2026, with room for flexibility in both directions. We are seeking a highly motivated individual with a PhD in computer science, computational chemistry / biochemistry, applied
-
two PhD students in the groups, and your newly developed tools will support the analysis and interpretation of their data. You will interact strongly with several international collaborators, both
-
mechanism regulating their secretion. You will employ advanced techniques including spectral flow cytometry, nano flow cytometry, mass spectrometry, and RNA sequencing. The ideal candidate will have a