Sort by
Refine Your Search
-
), which are driven by real applications in life science research Develop solutions to integrate large foundation models into microscopy image analysis and analytical data analysis workflows, together
-
international partners. Become part of our team PhD student (f/m/d) Work schedule: 65 % of the regular weekly working hours (currently 25 hours and 37 minutes) Duration: at the earliest possible date
-
assistant for a PhD in the field of AI for processing and analyzing text-based data in education Full-time, temporary for 3 years, salary according to EG 13 of the collective agreement for the public service
-
information at: http://www.ifw-dresden.de The Institute for Materials Chemistry (Director: Prof. Dr. Anjana Devi) at the IFW Dresden offers a PhD Position (m/f/d) on the following topic: Tailing and Exploring
-
information at: http://www.ifw-dresden.de The Institute for Materials Chemistry (Director: Prof. Dr. Anjana Devi) at the IFW Dresden offers a PhD Position (m/f/d) on the following topic: 2D materials
-
combination with methods of nonlinear spectroscopy. With its research, MBI fulfills a national mission and is an integral part of the international scientific community. MBI invites applications for 1 PhD
-
, business, and society. Our five core activities – research, nurturing young talent, policy advice, participation in public debate, and provision of information and service – are dedicated to sustaining and
-
information at: http://www.ifw-dresden.de The Institute for Materials Chemistry (Director: Prof. Dr. Anjana Devi) at the IFW Dresden offers a PhD Position (m/f/d) on the following topic: 2D materials
-
information at: http://www.ifw-dresden.de The Institute for Materials Chemistry (Director: Prof. Dr. Anjana Devi) at the IFW Dresden offers a PhD Position (m/f/d) on the following topic: Tailoring and exploring
-
most data sources are in German. Candidates should work independently and be willing to familiarize themselves with new topics and methods, including machine learning and the handling of large data sets