Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
Universität Düsseldorf, Physics Position ID: Universität Düsseldorf -Physics -PD [#28569] Position Title: Position Type: Postdoctoral Position Location: Düsseldorf, Nordrhein-Westfalen 40225
-
(MCQST) is inviting applications for a Ph.D. or postdoctoral position. In recent years, spin defects in diamonds have been shown to act as atomic-sized sensors for nanoscale- microscopic magnetic field
-
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
-
that are technically well-grounded and at the same time represent stakeholder preferences. The integrated Research Training Group (RTG) will provide doctoral researchers with an attractive qualification program, foster
-
the Lower Saxony Equal Rights Act (Niedersächsisches Gleichberechtigungsgesetz – NGG ). We therefore also welcome applications from women for the above-mentioned position. Preference will be given to equally
-
Max Planck Institute for Plant Breeding Research, Köln | Koln, Nordrhein Westfalen | Germany | 13 days ago
advantage) Are committed to adapt to the service-oriented nature of the facility and can easily interact with facility users Remuneration based on qualifications and experience in accordance with the TVöD
-
, computer science, etc.) can also be considered. In addition, we are looking for a candidate with the following: A high level of motivation to collaborate at an interdisciplinary interface and for international
-
interaction with syntax and pragmatics; experience with conducting prosodic production and perception studies; experience with conducting crosslinguistic research. We encourage applications from individuals who
-
; Individualized mentoring A qualification program tailored to academic as well as professional career paths. The positions are limited up to 3+1 years, starting 1 April 2026; salaries are predicated on the German
-
the testing of newly devel-oped materials and the use of machine learning methods to process complex data sets. The focus is on techniques such as ultrasound, radar, computed tomography, acoustic emission