Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
. The topics are not limited. Information about the available topics and supervisors can be found under the following link: http://scads.ai/positions2025. The location of work (Dresden or Leipzig) depends
-
considers the transport of suspended matter (tracers); calibrating and validating the model against long-term data on hydraulic conductivity, water temperature, and dissolved oxygen from several rivers
-
a vibrant scientific community. Join us in developing solutions for a rapidly changing world and help shape the future by working in an international environment. For more information about the
-
application in one pdf file including the usual documents until 7/1/2025 on the application portal of the university using this link: http://obp.uni-goettingen.de/de-de/OBF/Index/75947 . For more information
-
of the university using this link: http://obp.uni-goettingen.de/de-de/OBF/Index/75968 . For more information get in touch with Linda Haber directly via E-Mail: linda.haber@mathematik.uni-goettingen.de, Tel. +49 551
-
) dual-site research and training facilitated by a virtual research environment (VRE) where digital classes are combined with online tools to share information and research data a comprehensive
-
-supervisor from the partner university); dual-site research and training facilitated by a virtual research environment (VRE) where digital classes are combined with online tools to share information and
-
for applications is open until July 15, 2025. For further information and in order to apply, please visit the online jobs portal https://stellenausschreibungen.uni-wuppertal.de . There, you will find the official
-
. The sub-project of the Phytophotonics department focuses on analysing hyperspectral imaging data for predicting infestations in field crops. The focal topics of the sub-project include: Realisation of a
-
for imaging plant tissues (rose cuttings) Realisation of a corresponding measuring stand and implementation of test series for imaging Realisation of a data processing routine for the automated detection