Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
MEDICINE: precision veterinary medicine Prognostic biomarkers of neurodegenerative diseases Novel method to detect motor unit loss in muscle based on Electromyography BIG DATA analytics as a tool for medical
-
. Your tasks will include the development, validation and application of suitable target and non-target LC/MS methods for characterizing the entry and degradation pathways of relevant organic
-
candidates worldwide. Applicants must hold a relevant master’s degree for their chosen PhD project and meet MedUni Vienna’s official admission criteria. Research experience or familiarity with specific methods
-
developing imaging methods allowing to visualize molecular processes inside organisms, tissues and cells. With the help of imaging, we perform cutting-edge research in vascular, inflammatory, infectious
-
Systems. For this, we apply a combination of methods from both Physics and Mathematics, complemented by concepts from Theoretical Computer Science. Our research group is located jointly at the Faculty
-
)Informatics/Data Science or related disciplines is desirable. The positions focus on the development and application of new methods to predict multi-omic traits and phenotypes from large genetic datasets. More
-
key component of the project will also explore general metabolite-mediated signaling in the aortic endothelium, aiming to identify novel molecular pathways involved in vascular inflammation and
-
quantitative image analysis, numerical modeling, and explainable AI (XAI) with state-of-the-art biophysical methods. Using techniques such as traction force microscopy, microfluidics, 3D bioprinting, and
-
for replication timing and directionality, GRO-seq for nascent transcription, and DRIP-seq for R-loop detection. These methods allow us to integrate replication, transcription, and DNA repair features at nucleotide
-
materials, (2) Battery materials, (3) Quantum materials, (4) Semiconducting materials, (5) Artificial intelligence materials, (6) Metal and inorganic materials, (7) Organic materials, (8) Biomaterials, (9