Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
Leibniz Institute of Ecological Urban and Regional Development (IOER) • | Dresden, Sachsen | Germany | about 6 hours ago
of DLGS aligns with IOER research areas (one or several) identifies suitable supervisors (professors) at the TUD/ IOER (please do not contact potential supervisors in advance) Complete online application
-
of these cutting-edge research projects and in the societal transformation that they entail. We offer a broad range of courses and study programmes to match the skills in demand. We hope that you will help us to
-
. This position requires a leadership role in the development, design, conduct and the analysis of basic and translational research platforms. The faculty member will also assist and mentor surgical faculty and
-
, for whom and why. Conduct multiple case study research adopting various qualitative and quantitative research methodologies. Build bridges between theory and VET education practice (back and forth) and
-
postdoctoral students as well as professors, you can organise projects and events and thereby gain valuable qualifications. A Diploma supplement will be issued No International elements International guest
-
the dissertation even while pursuing your degree and to facilitate the transition from postgraduate studies into the professional world. The GCSC Teaching Centre assists PhD students in acquiring valuable didactic
-
Purpose-grown Energy Crop Physiologist – Research Assistant/Associate/Full Professor, Spring 2025 The University of Tennessee - Knoxville: Knoxville Academic Units: UT-ORII Location Knoxville, TN
-
of the German Federal and State Governments, today BIGSAS is part of the Cluster of Excellence EXC 2052 – "Africa Multiple: reconfiguring African Studies". The graduate school itself is an innovative centre
-
digital technologies. At HPI, you benefit from close supervision by experienced professors and postdocs, cutting-edge research facilities, and a collaborative academic network, e.g. with the University
-
”, led by Associate Professor Valeria Vitelli. Successful candidates will work on Bayesian models for unsupervised learning when multiple data sources are available, mostly tailored to the case