Sort by
Refine Your Search
-
Program
-
Employer
-
Field
-
collaborate closely with a dedicated team of soil fauna experts, ecological data modelers, computer-vision system engineers. Your Tasks Establish data science pipelines, data-modelling strategies, model
-
on two core but complementary areas: Computer vision and sensor data analysis, applied to tasks such as object detection in drone images (e.g., pest or disease detection), object tracking (e.g. leaves
-
Germany over the duration of your entire professional career Hosts receive a monthly allowance for research costs of 800€ for projects in the natural and engineering sciences or 500€ for projects in
-
energy efficiency while keeping the grid reliable and secure. Our research method is engineering-oriented, prototype-driven, and highly interdisciplinary. Our typical research process includes
-
medical image data. Vivid Interest in interdisciplinary research, closely working together with pathologists, medical experts, computer scientists and other researchers. Independent and pro-active work
-
of Engineering and Design. Our teaching and research focus lies on computer-based development of engineering products, particularly on the planning and realization of built facilities using computational modeling
-
18.10.2022, Wissenschaftliches Personal The lab for Artificial Intelligence in Medical Imaging (www.ai-med.de) is looking for a Post-Doc. The task will be the multi-modal modeling of medical data
-
and hydrogen storage to maximize energy efficiency while keeping the grid reliable and secure. Our research method is engineering-oriented, prototype-driven, and highly interdisciplinary. Our typical
-
and ability to express yourself in spoken and written German and English language • Proficient use of common programming languages, MS-office, data storage, and image processing • Ability to support the
-
able to experience hands-on testing of a high-speed and engine-representative compressor further increases of the efficiency and stability margin. The project is highly innovative, will generate