Sort by
Refine Your Search
-
Program
-
Field
-
research environment. Access to state-of-the-art equipment and facilities. Member of the integrated Research Training Group for dual mentoring, comprehensive doctoral training program, weekly seminars
-
Description Who We Are: The Cutsail research group at Ludwig-Maximilians-Universität (LMU) Munich is seeking a highly motivated PhD student / research assistant for full-time, on-site work in the
-
(MHH). The project is funded by the Wissenschaftsräume programme of the state of Lower Saxony and the Volkswagen Foundation. Your tasks will include: Design the physical intervention component of the app
-
identification of spider mite infestation foci and needs-based beneficial insect application in outdoor cucumber cultivation’, which is funded by the BMBF within the funding programme KMU-innovativ: Bioökonomie
-
of Excellence PhoenixD. Who are we looking for? The prerequisite for employment is a university science degree in physics/optical technologies or engineering. In the case of proven technical expertise (in
-
Description In the research group Dependable and Autonomous Cyber-physical Systems (DACS) on Institute for Software and Systems Engineering (ISSE) at Clausthal University of Technology has
-
requirements must be met? Doctoral candidates or participants in a combined Master and PhD programme who commenced their studies at least one year before. Doctoral students with a confirmed job offer for after
-
for recruitment is a university degree in biology/plant sciences or horticultural sciences. In the case of proven expertise in plant sciences, applications with a scientific/technical background (physics
-
available in the further tabs (e.g. “Application requirements”). Objective 'DLR-DAAD Research Fellowships' is a programme implemented by the 'German Aerospace Center' (DLR) and the 'German Academic Exchange
-
available in the further tabs (e.g. “Application requirements”). Programme Description The Jeff Schell Fellowship can be granted to MSc and PhD students from all fields of natural science and data science