-
“Decoding faba bean yield stability: From in-field image data to mechanistic models (DIGIFABA)”, which is financed by Novo Nordisk Fonden. Start date is (expected to be) 1 October 2025, or as soon as possible
-
thereafter. The project The PhD project is mainly based on data from the Generation Healthy Kids project, a large-scale 2-year school- and community-based multi-component, multi-setting intervention among
-
. The successful candidate is expected to utilize the data resources affiliated with the center, and in this case in particular the dialect archives and collections at NorS. Depending on the successful candidate’s
-
of samples. To apply and further optimize data analytical workflows. A comprehensive database will be created, documenting the key chemical and physical properties of advanced bio-oils. The qualified applicant
-
interdisciplinary environment, which offers fantastic scientific and social interactions with a large group of talented researchers. Further information on the Niels Bohr Institute is found at https://nbi.ku.dk
-
of state-of-the-art imaging technologies, high resolution single cell data sets that will be established on non-trial samples. The PhD will include bioinformatic support from internal and international
-
of the project, e.g. chemistry, medicinal chemistry, nanoscience. For information of eligibility of completed programmes, see General assessments for specific countries and Assessment database . Terms
-
the Pharmaceutical Sciences bridging Health Sciences and Life Sciences. Information about the Department can be found at https://drug.ku.dk/ Job description Your key tasks as a PhD student at the Faculty of Health and
-
, equivalent to a Danish master’s degree (180 ECTS/3 FTE BSc + 120 ECTS/2 FTE MSc) related to the subject area of the project, e.g. Physics For information of eligibility of completed programmes, see General
-
written and spoken English. Fluent in a computer coding language (python or Matlab or C++ or etc). The Scientific environment We offer creative and stimulating working conditions in a dynamic and