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-responsive proteins to develop genetic switches and circuits in therapeutically relevant bacteria. Your tasks: Use computational tools to design protein structures with desired properties Produce
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coordination with Prof. Dr. Harald Sack. Qualifications and Skills: A very good PhD degree in computer science or a comparable discipline. Very good software engineering skills. Excellent written and spoken
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The Network Analysis and Modelling group investigates how genetic variation shapes gene regulation, protein function, and, ultimately, observable plant traits. Using machine learning and network
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networks of functional gene and protein regulation (https://www.ipb-halle.de ). The position is located in the department BPI (Biochemistry of Plant Interactions) and the Program Center for Plant
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) Please contact Prof. Dr. Kai Sassenberg (ksa@leibniz-psychology.org) for further information on tasks or profile. We offer: An exciting scientific environment The opportunity to realize your own research
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master's or diploma degree in computer science or mathematics already successfully completed doctorate confident demeanor and proficient use of German and English (both equivalent to at least B2) expertise
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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
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: completed scientific higher education degree (PhD) in the field(s) of Earth system science, physics, climate physics, geosciences, mathematics, computer science or a comparable field demonstrated experience
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the structured Junior Faculty Development Program and have the opportunity to teach at LMU Munich engage with international top-class economists within our CESifo network with over 2,000 members from all over
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coding experience with e.g. Python/Matlab/R Practical experience with High Performance Computing, and scientific programming and a willingness to learn to work with high-performing computing systems