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(pressure, temperature, etc.) Signal conditioning and digitization for heterogeneous sensor inputs System-level validation and interfacing with SNN-based hardware What You Will Do Design, simulate, and verify
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You Will Do Design and simulate CMOS circuits for spiking neuron models Develop and validate digital/mixed-signal SNN hardware Collaborate with neuroscientists and system-level designers Contribute
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demonstrating high-performance devices: Numerical simulations, device fabrication in the cleanroom (relying on international partners), and device characterization (relying on the facilities in the CIE lab
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read more about DTU Physics at physics.dtu.dk . Further information may be obtained from Head of Department Jane Hvolbæk Nielsen, tel.: +45 4525 3222, e-mail: jane@fysik.dtu.dk . If you are applying
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. Extending the model to full two-way coupling, allowing feedback from flexible vegetation on wave-induced flow. Applying the fully-coupled model to simulate interactions under both regular and irregular wave
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based on both visual and tactile information. The candidate will be responsible for developing detailed simulation models of both robots, sensors, and components to be assembled. In addition
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application. Curriculum Vitae. Master’s and bachelor’s degree certificates or equivalent, including transcripts of grades (copy of original/official English translation). Completed TEK PhD application form
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and contact Associate Professor Lars Duggen, Head of Centre for Industrial Mechanics, tel. +45 6550 1640, e-mail: duggen@sdu.dk or Professor Jerome Jouffroy, head of the Drone Mechatronics, tel. +45
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the following documents in PDF format: 1. Motivated letter of application (max. one page) 2. CV incl. education, experience, language skills and other skills relevant for the position 3. Certified copy
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completion of the MSc. Copy of MSc thesis, if available A recommendation letter, if available (otherwise, please insert contacts for recommendations in the CV) Shortlisting may be used in the assessment