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paradigms to control singing exercise, analyzing song using sophisticated bioacoustics analysis methods, muscle physiology, immunohistochemistry and confocal imaging. The Vocal Neuromechanics lab is embedded
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and characteristics: Master’s degree in Software Engineering, Computer Science, Embedded Systems, Artificial Intelligence, or a closely related field. Strong programming and system integration skills in
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of employment in the real estate and related sectors. What we expect You will be embedded in the QuiVal community. For your role in research project 3b, we are looking for a PhD student who has: An MSc degree in
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in the Built Environment” (CEBE) donated by the Villum Foundation and will thus be embedded in other research and development activities at SDU and other Danish universities, and it will be
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of the following areas: Robotics Control theory Deep Learning & Machine learning Modelling and control of soft/continuum robots Experience with embedded systems programming (Preferably) with a strong background in
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with embedded systems programming (Preferably) with a strong background in mechanics or applied mathematics. Preferably, the candidate has experience with: Robotic simulation tools Medical applications
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PhD Student, you will be embedded in a strong research community that is internationally recognized for excellence in research and a strong commitment to interdisciplinary methods and approaches within
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rule ) immediately before the recruitment date. The research Environment As a PhD Student, you will be embedded in a strong research community that is internationally recognized for excellence in
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will follow the PhD study program at the Faculty of Science. This position is embedded in the project “PARAMLP: Parameterized Algorithms and Polyhedra” funded by the ERC . The ERC is the premier European
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neurotechnology. Project Overview This PhD project is embedded in a multidisciplinary initiative that aims to develop a wearable neuromorphic system for brain-signal interpretation and sensor-based feedback