Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
backgrounds and perspectives lay the foundation for learning, creativity and development. We welcome people with different backgrounds and experiences to apply for the current employment. We kindly decline
-
years to work in a multi-professional international team with automatization of radiotherapy treatment planning. Description of the project The project aims to develop methods for automated dose planning
-
investigates the molecular mechanisms that govern plant development, with a particular focus on symmetry breaking processes in tomato flowers. Symmetry breaking is a fundamental biological phenomenon in which
-
the foundation for learning, creativity and development. We welcome people with different backgrounds and experiences to apply for the current employment. We kindly decline offers of recruitment and advertising
-
the foundation for learning, creativity and development. We welcome people with different backgrounds and experiences to apply for the current employment. We kindly decline offers of recruitment and advertising
-
how they are affected by global change. We offer an excellent scientific environment and outstanding opportunities for scientists to develop and specialize in this important field. Work assignments The
-
. The project and research environment will give the dedicated student the opportunity to train as a first-class researcher. Qualifications Applicants must hold a University degree at advanced levelor
-
the foundation for learning, creativity and development. We welcome people with different backgrounds and experiences to apply for the current employment. We kindly decline offers of recruitment and advertising
-
-electron microscopy is required, as well as specific expertise in the development and application of advanced membrane model systems for analysis using spinning disc microscopy and cryo-electron microscopy
-
will also use focussed ion beam milling scanning electron microscopy (FIB-SEM) to prepare infected cells for in situ cryo-ET. The resulting tomographic data will be analysed by machine-learning assisted