Sort by
Refine Your Search
-
Listed
-
Employer
- Technical University of Denmark
- University of Southern Denmark
- Technical University Of Denmark
- University of Copenhagen
- Nature Careers
- Aalborg University
- Copenhagen Business School , CBS
- Aalborg Universitet
- Technical University of Denmark;
- Aarhus University
- Copenhagen Business School
- Roskilde University
- 2 more »
- « less
-
Field
-
professor, one assistant professor, one postdoc, and a large number of PhD students. The project includes strong partnerships with the University of Leipzig (Bioinformatics, Prof. Peter Stadler
-
equivalent) in Allergology, Immunology, Bioinformatics, Biochemistry, Biomedical, Protein Chemistry, Molecular Biology or a related field as well as: Solid understanding of immunology and/or food allergy, and
-
professor, one assistant professor, one postdoc, and a large number of PhD students. The project includes strong partnerships with the University of Leipzig (Bioinformatics, Prof. Peter Stadler
-
apply a range of single cell genomics technologies on clinical biopsies combined with bioinformatics, and a range of targeting strategies in mouse disease models. As a member of the Center of Excellence
-
professor, one assistant professor, one postdoc, and a large number of PhD students. The project includes strong partnerships with the University of Leipzig (Bioinformatics, Prof. Peter Stadler
-
/ Application procedure Your application must be submitted electronically by clicking ‘Apply now’ below. The application must include the following documents in PDF format: 1. Motivated letter of application (max
-
of organizing processes and their outcomes. Methodologically, we value qualitative research methods highly and often adopt case study, field work methodology or social network analysis. The teaching
-
: https://healthsciences.ku.dk/phd/guidelines/ Application procedure Your application must be submitted electronically by clicking ‘Apply now’ below. The application must include the following documents in
-
, please contact Jens Petersen (phup@di.ku.dk ) or Raghavendra Selvan (raghav@di.ku.dk). Machine Learning for Design of Sustainable Food Processing Currently, plant ingredients are often refined to almost
-
, have been optimized for fossil fuels for more than 140 years but the new fuels have properties that can enable a more efficient operation. Advanced combustion processes like HCCI, SACI and PPC will be