Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Technical University of Denmark
- Aalborg University
- University of Southern Denmark
- Nature Careers
- Aalborg Universitet
- University of Copenhagen
- Aarhus University
- Technical University Of Denmark
- COPENHAGEN BUSINESS SCHOOL
- Copenhagen Business School
- Danmarks Tekniske Universitet
- NVIDIA Denmark
- University of Southern Denmark;
- 3 more »
- « less
-
Field
-
, enthusiasm for technology and the drive to adopt new skills and extended responsibilities. We offer an open, international team with flexible work organization and support of individual development. The group
-
/ 40.000 DKK. Funding for technical and personal skills training and participation in international research events. You will develop both theoretical and applied work as you will be in close contact to real
-
of individual development. The group is involved in a variety of national and European projects and features a strong network of academic and industrial partners. We solve challenging research problems
-
that can support the development and implementation of robots that meaningfully support everyday work in healthcare. The successful candidate will conduct empirical research and collect data through
-
developing the competences of the IML group within prediction of T and B cell immunogenicity and immunoinformatics in general. You will work with nearby bioinformatics, postdocs and PhD students working
-
will be centered on further developing the competences of the IML group within prediction of T and B cell immunogenicity and immunoinformatics in general. You will work with nearby bioinformatics
-
established companies to develop new medicinal treatments founded in professional scientific basic research. You can read more about the department here and about the faculty here . Your job responsibilities
-
and their death negatively impacts processes: for example with regards to process duration or product quality. Therefore we developed an approach that integrates the disciplines of fundamental cell and
-
this challenge by developing privacy-preserving data-sharing mechanisms and data-driven decision-support tools, and combining them in an end-to-end pipeline for sharing and exploiting high-quality data. A core
-
thermodynamics and molecular interactions in formulation environments. The position contributes to the development of pharmaceutical data science, integrating computational chemistry, molecular modeling, and