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Field
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The Leibniz-Institute of Surface Engineering (IOM) in Leipzig invites applications for the following position: PhD student / scientific co-worker (m/f/d) / for 3 years limited Project description
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The Leibniz Institute for Agricultural Engineering and Bioeconomy is a pioneer and a driver of bioeconomy research. Our work is aimed at creating the scientific foundation to transform agricultural
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include: Researching, in particular, publicly available data on current and future materials for energy technologies Implementing the materials in our technology database and in our energy system model
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the current challenges of our time and change the world with us. In cooperation with the RWTH Chairs of Laser Technology LLT, Technology of Optical Systems TOS and Nonlinear Dynamics of Laser Manufacturing
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The »Roll-to-Roll Technology« department develops solutions for the series production of components for the hydrogen economy. These include proton exchange membrane (PEM) fuel cells and
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of security, health, energy, information and communication. What you will do In the field of quantum sensor technology, the institute is pursuing globally unique approaches to new magnetic field sensors based
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science, electrical engineering, information technology, physics, computer science, mathematics or mechanical engineering strong background in the fields of machine learning and reinforcement learning very
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for various industries, including space exploration, robotics, automotive, and more. Required Skills & Experience • Master's degree in Aerospace Engineering, Electrical Engineering, Computer Science, or a
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Computer Science, Electrical Engineering or similar Knowledge in ML/AI Methods, including Algorithm Training, Testing, and Deployment Strong understanding of computer vision principles and techniques. Familiarity
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, or if possible, German language. What you bring to the table Degree (diploma/master) in physics, chemistry, electrical engineering or equivalent disciplines Knowledge and relevant professional