28 post-doc-computer-science Postdoctoral positions at University of Southern Denmark
Sort by
Refine Your Search
-
chemistry, e.g., GCMS, HPLC and ECMS. Designing immobilization strategies. Collaborating on mechanistic and computational studies. Collaborating within the CAPeX pioneer center The successful candidate will
-
-cell multi-omics, and CRISPR Cas9-based functional genomics with computational biology to uncover the molecular logic of cellular resilience and dysfunction during aging. The lab benefits from strong
-
transcriptomics and bioimaging to study human liver biopsies and advanced, preclinical models. A combination of wet-lab and computational biology, close ties to the clinic, and a wonderful team of early career
-
Job Description The Section of Chemical Engineering (ChE) at the Department of Green Technology (IGT), University of Southern Denmark, (SDU) invites applicants for a 1-year Postdoc position with
-
degree in Computer Science/Software Engineering or related areas. Research expertise with background in at least two of the following areas: Cybersecurity, Block-chain, Cryptography (e.g., Multi-Party
-
. Introduction The SDU Software Engineering section at the Maersk Mc-Kinney Moller Institute (Faculty of Engineering) invites applications for a 2-year postdoctoral position in the intersection of edge computing
-
position as postdoctoral researcher for 2 years in the area of computational nanophotonics, with a focus on semi-analytical and numerical methods for treating electron-beam spectroscopies. We are looking
-
environment that encourages innovation and creativity. Opportunities for professional growth and leadership. Access to state-of-the-art technology and resources. Job description SDU Robotics currently has
-
a focus area, with studies of the adverse health effects of exposure, biomonitoring and advising national and international authorities. The analytical chemistry laboratory analyzes concentrations
-
Netherlands. The Post Docs will be involved in all parts and activities of the research projects. The workload will be geared towards participation in coordination activities, data collection and data analysis, learning