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Student Assistant (m/f/d)- Software Development for Cutting-Edge Autonomous Outdoor Robot Navigation
or similar, currently enrolled in bachelors or masters program Some experience with C++ and Linux Experience with the following is a plus: ROS 2, computer vision, pointcloud-processing, machine learning
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Application deadline: 05.10.2025 Tasks To perform an independent experimental or computational PhD project in the fields of neuroscience, biochemistry, ophthalmology, and / or datascience. Profile Completed
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) Country Germany Application Deadline 5 Oct 2025 - 23:00 (UTC) Type of Contract To be defined Job Status Full-time Hours Per Week To be defined Is the job funded through the EU Research Framework Programme
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computational and data-driven approaches, focusing on topics such as plant carbon transport, microbial systems, or circular bioprocesses. You will contribute to developing and applying novel modeling strategies
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provide a dynamic environment which empowers excellence with state-of-the-art technologies, cutting edge infrastructure, and a global scientific network. Contribute your knowledge, vision, and dedication
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dedicated to creating open-source, trustworthy foundation models and building a strong community around this vision. At the Tübingen AI Center, you will have the opportunity to help shape the future of “AI
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Advertisement for the field of study such as: computer science, simulation, robotics or comparable. Robust and repeatable dynamic in-hand manipulation is an essential skill for enabling generalized
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Several PhD positions (f/m/d) in International Research Training Group (iRTG) limits2vision Full PhD
Description Offer Description PhD student positions will become available in the Institute for Ophthalmic Research (IOR) at the University of Tübingen (Germany) and the Institut de la Vision (IDV
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deep learning / computer vision / biomedical image computing Excellent English; German is an advantage for clinical collaboration We offer Highly interdisciplinary, translational research environment
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on futuristic technologies in the field of machine learning and computer vision. Hence, we investigate and develop an innovative computation-in-memory (CIM) solution for artificial intelligence accelerator design