Sort by
Refine Your Search
-
Listed
-
Employer
- Aarhus University
- Aalborg University
- University of Copenhagen
- Copenhagen Business School
- Aalborg Universitet
- Aarhus University (AU)
- Aarhus University;
- University of Southern Denmark (SDU)
- Faculty of Medicine, Aalborg University
- Technical University Of Denmark
- University of Copenhagen;
- University of Southern Denmark
- 2 more »
- « less
-
Field
-
to think independently, in human-AI interaction. You will connect the project's technical work with its grounding in cognitive theory. The position suits candidates with a PhD in Human-Computer Interaction
-
synchrotron or laboratory 3D diffraction imaging is considered as a significant advantage. Excellent English communication skills are also essential As a formal qualification, you must hold a PhD degree (or
-
, and a special interest in IBD. The ideal candidate has: A PhD in bioinformatics within the field of IBD Has demonstrated expertise in working with registry data as well as genomic, microbiomics and
-
. You will attend local and international scientific conferences. Your profile Applicants should hold a PhD in neurobiology, cell biology or related fields. You should be experienced in cellular
-
-resolution microscopy Genome editing (e.g., CRISPR-based approaches) Quantitative and live-cell imaging Functional genomics The project is embedded in an interdisciplinary research environment combining
-
fracture processes at micro and meso scales influence the structural response at an engineering scale, and to use this insight to support the design of damage tolerant composite structures. You will be
-
qualifications at PhD level, in medical physics, physics, biomedical engineering or computer science. It is mandatory that your PhD degree is on a topic relevant for this specific position, i.e. in CT-imaging and
-
related genome editing approaches to disrupt biological processes that support prostate cancer progression with a focus on metabolism, hormonal and stress response signaling. Preparing samples
-
-quality Danish registry data with links to data on researchers’ publications and research funding activities. The ideal candidate will be a recent PhD graduate with a deep interest in the economics of
-
data without compromising individual privacy. Using unique, nationwide Danish health registry data, you will work with spatial data, such as disease maps and medical imaging. Such data are highly