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promises for impactful scientific research within the areas of theoretical condensed-matter physics, first-principles simulations, and nano-scale light-matter interactions. The ideal candidate will be
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contact information • Certified copy of diploma (Master’s degree in a relevant field) Shortlisting may be used in the assessment process. Further information about the PhD-study can be found at the homepage
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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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to integrate various structural biology data (NMR, SAXS, FRET, EPR) as well as computational models and simulations to create and interpret conformational ensembles of disordered protein regions, with the goal
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digital co-simulation platforms (e.g., Modelica-Python/Simulink) Applying machine learning and data-driven approaches to enhance the operation of district heating substations Participating in course
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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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that you save a copy of the job posting, as it will be removed once the application deadline has passed. The assessment of candidates for the position will be carried out by qualified experts. Shortlisting
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welcome to contact us. You will find contact persons at the bottom of the jobpost. Further information We recommend that you save a copy of the job posting, as it will be removed once the application
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research and development projects). The candidate will implement a simulation framework to explore different configurations of management practices to reduce the impact of agricultural systems