Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
adults, significantly impacting quality of life, and remain challenging to treat. Our research group has pioneered innovative methods to study voiding behavior in mice and developed live imaging techniques
-
. Strong knowledge of quantitative and/or computational research methods, ideally in econometric analysis or optimization and simulation models. Preferable knowledge in Python and STATA. A collaborative team
-
methods from information systems, such as qualitative interviews or simulation-based modeling to investigate questions at the individual and organizational levels Interest in financial applications
-
fields with a socio-technical background Interest in data anonymization and/or technology law will be considered an asset Interest in applying methods commonly used in information systems research (e.g
-
the disciplines of law, ethics or computer science with the common goal of researching methods and tools to make Integrated Assessments of risks and impacts for current Data intensive and AI technologies. Research
-
achieve this, the PhD candidate will employ advanced in situ and ex situ transmission electron microscopy (TEM) methods, alongside electron diffraction techniques, to investigate structural changes and
-
the genetic etiology and developing diagnostics and treatment methods for these diseases. Approaches range from human genetics, genomics, protein biochemistry and neuronal and glial cell biology to integrative
-
analysis methods, particularly life cycle assessment and/or ecosystem services assessment, and have a critical and analytical mindset. You are comfortable working with complex datasets, scenario modelling
-
to neurodegenerative diseases of the central and peripheral nervous system, with an emphasis on understanding the genetic etiology and developing diagnostics and treatment methods for these diseases. Approaches range
-
of more efficient cancer detection methods and revolutionary therapies. The center is looking for A PhD for the project “Intraoperative assessment of resection margins in breast cancer surgery by Raman