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mechanisms, and engaging in larger collaborative networks. Preference will be given to applicants focusing on disease-related topics, such as ischemic and hemorrhagic stroke, small vessel disease, arterial
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mechanical engineering, aerospace engineering, physics or a comparable subject area Basic knowledge of machining, force modeling, and technical mechanics is an advantage Ideally initial experience with CAM
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research is financed by the DFG's Emmy Noether Programme through the project Coherent Highly Enantioselective Molecular Manipulation enabled by Multiphoton Interactions with Structured Light (CHEM3ISt-Light
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Your Job: Neural interfaces are electronic devices designed to interact with the nervous system, capturing and controlling neural activity to map neural networks, understanding the mechanisms behind
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Technology: Professorship Measurement and Sensor Technology Further information Technische Universität Dresden Faculty of Electrical and Computer Engineering Faculty of Computer Science Faculty of Mechanical Science and
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Required Skills & Experience A Master of Science/Engineering degree (or equivalent) with excellent academic results in Aerospace Engineering, Mechanical Engineering, Electrical/Computer Engineering, Physics
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or Mechanical Engineering – strong background in machine learning, deep learning and / or computer vision – good programming skills in Python (and C++) – basic knowledge of optics including concepts like PSF, MTF
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diverse additive production research projects What you bring to the table Ongoing academic studies (Bachelor's or Master's degree) in mechanical engineering, materials technology, mechatronics, engineering
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) in the Research Group “Numerical Mathematics and Scientific ComputingNumerical Mathematics and Scientific Computing“ (Head: Prof. Dr. V. John) starting as soon as possible. The work tasks include
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must also be reduced. To analyze and control thermoacoustic instabilities, we combine fluid mechanics, acoustics, and combustion with methods from control engineering, nonlinear dynamics, and data-driven