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environment at the University of Kassel. Its offers are open to all academics and artists in the qualification phase at the University of Kassel. Further training / transferable skills Kassel Graduate Programme
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English Languages The language of instruction is English. All courses, lectures, and workshops are held in English. Participants are required to write and defend their doctoral thesis in English. Programme
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monitoring. Candidates should have a background in computer science, AI, machine learning, affective computing, computational psychology or related areas. Strong programming skills are essential. Funding
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discipline. Prior experience in any of the following is a plus but not essential: ultrasound or wave physics, numerical simulation, Python programming, and machine learning frameworks. Most importantly, we
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extensive list of UniSQ Experts to align your areas of interest with world-class research opportunities at UniSQ. Application for entry into the Doctor of Philosophy program is a separate process that must
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monitoring techniques, and RF instrumentation workflows to enhance C‑UAS capabilities. Plan, commission, and operate RF infrastructure including spectrum analysis systems, software‑defined radios, direction
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awarded an Australian Government Research Training Program (AGRTP) Scholarship or equivalent. The successful applicant will have the opportunity to work with Casella Family Brands . Prospective candidates
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available in the further tabs (e.g. “Application requirements”). Programme Description The travel grants are intended to assist young US citizens or permanent US residents who write their doctoral theses and
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specialists, and experimentalists. You will draw up a research plan and corresponding research methods in consultation with your supervisor(s) and undertake the necessary administration for a smooth PhD process
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. You have strong programming skills in C/C++, Python, and/or Matlab. Knowledge of energy-efficient communication systems, network energy modeling, or renewable energy integration is a strong asset