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science, automation science, or a related field, and convincing expertise in robotic hardware. Experience with machine learning and large language models is highly desirable. Prior experience in a biological setting
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Postdoc (f/m/d): Machine Learning for Materials Modeling / Completed university studies (PhD) in ...
collaboratively in a team-oriented environment # Excellent communication skills Our offer # A vibrant research community in an open, diverse and international work environment # Scientific excellence and extensive
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in the development of new smart devices for communication, sensing, and electronics. The postdoctoral project will encompass various aspects ranging from the synthesis and modification of small organic
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: A small, international team with open communication and flat hierarchies Specializes in machine learning and data mining for plant genomics Committed to interdisciplinary work combining genetics, data
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simulations. The interdisciplinary character of the project also asks for strong skills in communicating with project partners in coordinating research tasks to reach the overall goals of the project
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Postdoc (f/m/d) Methods for Geochemical Exploration and Sampling Strategy / Completed PhD in the ...
in a group of motivated, interdisciplinary professionals # Ability to travel and do field work in Europe # Skills in a data science language such as R, Python or Julia # Excellent communication skills
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upcoming AI methods to analyze the climate simulations. The interdisciplinary character of the project also asks for strong skills in communicating with project partners in coordinating research tasks
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genomics, virtual cell models Graph-based neural networks, optimal transport Biomedical imaging, deep learning, virtual reality, AI-driven image analysis Agentic systems, large language models Generative AI
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experience with ROS Experience with simulation tools such as MuJoCo, Gazebo Prior exposure to machine learning and perception systems is an advantage Excellent communication skills and proficiency in English
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or animals), animal pose estimation from video (e.g., cows or horses), and plant phenotyping. Modeling microbial and environmental data, with a focus on microbial communities in soil and plants, integrating