Sort by
Refine Your Search
-
Listed
-
Employer
- Aarhus University
- Aalborg University
- Aarhus University (AU)
- University of Copenhagen
- Copenhagen Business School
- University of Southern Denmark (SDU)
- Aalborg Universitet
- Aarhus University;
- Faculty of Medicine, Aalborg University
- Technical University Of Denmark
- University of Copenhagen;
- University of Southern Denmark
- 2 more »
- « less
-
Field
-
interdisciplinary project funded by the Danish Energy Technology Development and Demonstration Programme (EUDP) and has a strong focus towards commercialization the resulting battery. Your competencies Appointment as
-
should have the following qualifications: Ph. D. degree in data science, electrical engineering, computer engineering, computer science, mathematical engineering, or similar. Proven track record in
-
, chromatin conformation analyses) Experience with computational and bioinformatics pipelines and R for data integration. We offer A position in a focused, externally funded research project at the forefront
-
and computational biologists aiming to examine the factors and complexes governing the production and turnover of eukaryotic transcriptomes. What we offer The successful applicant is offered: Access
-
electron lasers (XFEL). Optical phase change materials can be reversibly switched between amorphous and crystalline states on fast timescales and are enabling materials for emerging photonic computing
-
controlled trial evaluating self-help interventions for parenting couples experiencing conflict or relationship distress. The trial compares the online OurRelationship program, couple-focused bibliotherapy
-
, information science or related fields. A PhD in social science or related areas is required. We expect the candidates to have excellent communication skills in spoken and written English, and an ability to produce
-
factor analysis. Develop robust, shareable bioinformatics pipelines for epidemio-genomic and phylogenomic analyses using genomic & metagenomic datasets and implement them in high performance computing (HPC
-
factor analysis. Develop robust, shareable bioinformatics pipelines for epidemio-genomic and phylogenomic analyses using genomic & metagenomic datasets and implement them in high performance computing
-
-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Department