Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
staff office (ISO) https://www.sdu.dk/en/om-sdu/job-sdu/international-staff For the right candidate, there will be possibilities to influence the project and develop new project ideas within the project
-
Internet, Earth Observation, and Autonomous Transportation. As far as technical enablers are concerned, we leverage expertise on advanced technologies including semantic/task-oriented data processing, signal
-
summer schools. More information on the research conducted in the Hedegård group can be found here: https://www.sdu.dk/en/forskning/ctic Natural Science Research – Interdisciplinary Strength The Department
-
: www.uni.lu/snt-en/research-groups/finatrax/ Your role The candidate will work on the the Data-Driven Energy Transition NCER Project (D2ET). This project aims to accelerate the energy transition in Luxembourg
-
working on related topics Participate in teaching and supervision activities, in line with the candidate's profile and interests The research activities will be hosted by the Parallel Computing and
-
–microbe interactions, and microbial pathogenesis. Research spans both cellular and molecular aspects of infections caused by bacteria, viruses, and fungi, as well as immune regulation of these processes
-
April 1st 2026 or by agreement. For more details about the position and the application procedure see: https://www.umu.se/en/work-with-us/open-positions/postdoctor-2-years-in-organic-electronics-with
-
qualified. Information on job advertisements and the collection of personal data is available at www.uni-heidelberg.de/en/job-market .
-
bring strong research expertise and strong technical skills within remote sensing and ecology, notably lidar processing. The successful candidate should have: Required: A PhD degree with a publication
-
Postdoctoral position in the development of an AI-based phenotyping system for high-throughput sc...
work. Qualifications PhD in computer science, computational biology, engineering, or related fields. Experience developing deep-learning tools for image processing, automatic monitoring of agricultural