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develop experimental research performing magneto-optical spectroscopy combined with electronic transport to investigate light-matter interactions in 2D materials. Our goal is to access and control new
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a profound knowledge on the majority of the following topics: Robot control Reinforcement learning Simulation of robot dynamics Deployment of learning-based solutions Preferably, the candidate has
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that support spike-based processing and memory-efficient computation using SSMs, targeting edge-AI scenarios in wearables, robotics, or sensor networks. Research area and project description The project will co
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Applicants should hold a relevant MSc degree in electronics, electrical engineering, computer engineering, or related fields. Required Qualification: Solid background in digital CMOS design and deep learning
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described therein. Based on an individual managerial assessment, the employee may be exempt from time registration—also referred to as “self-managed working hours.” Assessment and Evaluation Process
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assessed by the committee. Shortlisting and tests may be used in the assessment process. As part of the overall assessment of the applicant’s qualifications, an interview may be applied. Documents should not
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about the network as a whole, its scientific content, and the application and selection process here . All positions are fully funded, with very competitive salaries. More information on funding from
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available Professor Thomas Ebel, Head of CIE, phone: +45 6550 1288, email: ebel@sdu.dk . If you experience technical problems, please contact hcm-support@sdu.dk. Application procedure Before applying
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the assessment process. Incomplete applications and applications received after the deadline will neither be considered nor evaluated. This also applies to reference letters. Applications will be assessed by
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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