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created. At the same time, one of the world's most comprehensive natural history collections with over 30 million objects will be housed in modern collection buildings and completely digitized in
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analysis Experience in one or more of the following areas is highly desirable: Hybrid modelling, neural differential equations, or physics-informed neural networks Equation discovery Bayesian inference
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objects. Different acquisition devices are used depending on the object properties and quality requirements. A new robot-based multi-sensor platform will combine the existing technologies to enable a
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available in the further tabs (e.g. “Application requirements”). Objective The aim of the research grant is to fund and encourage young academics to study subjects relating to German affairs on a long-term
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, three (3) PhD students, and seven (7) MSc students. The successful applicant will carry out independent and original research on the dynamics of relativistic compact objects and the associated emission
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processes related to carbon cycling in the soil-plant system Experience with Bayesian inference and machine learning is an asset Ability to work independently and cooperatively as part of an interdisciplinary
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Stud. assistant (m/f/d) - Obj. Detection in clutter and Obj. Tracking in robotic hand (in Heilbronn)
, computer science, robotics or comparable. Reliable and precise perception is essential for robot-based bin picking and assembly, especially for bulk goods and object manipulation with robotic hands
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”. The advertised position is in the context of the Bavarian government’s Master Plan for Nuclear Fusion dated February 11, 2025. The successful candidate is expected to promote the objectives of the Master Plan in
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interoperability between Electronic Lab Notebooks and Research Object-Crates ( https://helmholtz-metadaten.de/de/inf-projects/elnro ). This will be achieved by creating a standardized metadata mapping framework and
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how knowledge is shaped historically by a great variety of resources – political systems, technological infrastructures, social interaction, material objects and media technologies. Knowledge, in turn