Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
the digital models into different simulation environments and to support the testing and training of medical robotic systems. The successful candidate should have a strong background in medical image analysis
-
be used to prepare lamella samples for high resolution cryo-EM imaging and tomography. From AI assisted image analysis, 3D models for key proteins and biomolecular complexes will be fitted into 3D
-
an experience in technology-assisted monitoring or computational image analysis. Expected start date and duration of employment The position will start in June 2026, with exact starting date as agreed between
-
. Key activities include analysis of clinical and patient-reported outcome data, coordination of implementation studies in collaboration with ENT clinics, dissemination of results through peer-reviewed
-
. Consequently, visual feedback must be used for adapting the robot behavior to the changing environment. The postdoc should contribute to the deployment of the developed solution in laboratories in both SDU and
-
barriers and facilitators of prevention programs. The ideal candidate has a background in or experience with one or more of the following topics and areas: Survey methodology / Survey data analysis
-
research of high international quality, including publication Transcriptomics and molecular analysis of skeletal muscle Analysis of signaling pathways linking muscle excitability to gene regulation
-
immobilization and characterization thereof Experience in the application of enzymes in bioremediation and/or in biocatalysis Expertise in chemical analysis using techniques including GC-MS and LC-MS Self
-
, implementation and operations, data analysis, processing, dissemination, and applications, leading to new instruments and applications. With the specialized and refined technology available, we are getting more
-
Two postdoctoral positions (3-year) in Experimental Evolution of Methanogenic Microbiomes in Bioe...
project at the interface of directed experimental evolution, microbial ecology, and bioelectrochemical engineering. The project combines laboratory evolution approaches with omics-based analysis