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for a doctoral candidate with the following qualifications: Master's degree in meteorology, physics, mathematics, computer science or an equivalent scientific or mathematical discipline Very good
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, HSPICE, or similar IC design tools Knowledge in at least one area as an advantage: deep learning hardware development memory technology CMOS technology Analytical and structured thinking paired with strong
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Weihenstephan-Triesdorf University of Applied Sciences (HSWT). As part of an applied research collaboration, a PhD position is available at the high-tech startup lifespin GmbH in Regensburg. The doctoral degree
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completed scientific university education (Master's/Diploma) in food chemistry, chemistry or a related field sound knowledge and experience in the use of instrumental analytical methods such as HPLC-MS, GC-MS
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of Physics by means of various spectroscopy schemes and also at Q.ANT in their gyroscope/magnetometer labs. With this thesis, the PhD student will acquire broad knowledge on state-of-the-art laser technology
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semester in EUR None Combined Master's degree / PhD programme No Joint degree / double degree programme Yes Description/content All coursework is science-based, and all courses require basic knowledge in
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teaching. Students acquire knowledge, expertise and the power of judgement, in accordance with the guidelines of scientific research and awareness. The university fosters fascination for the sciences
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journals REQUIREMENTS: Master's degree in Neurobiology, Psychology, Biology, or a related field Strong interest in psychosis, neuroimmunology, and cognitive processes Experience with animal models
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economics or a related discipline from a reputable university Strong knowledge in econometrics / applied mathematics / applied quantitative methods, with the ability to apply this knowledge to real-world
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biogeochemistry, environmental sciences, or a related field is required. Knowledge of the biogeochemistry of trace gases such as methane in shallow water areas would be advantageous. Existing skills in measuring