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development in data analytics coupled with gene editing technology has transformed crop breeding and enabled a new frontier of de novo breeding. Through Murdoch University and Grain Research and Development
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closed-loop control. The technology, developed through detailed computer simulations, will be validated with preclinical experiments. The candidate will be part of a multidisciplinary team working towards
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mathematics, (theoretical) computer science, machine learning foundations, electrical engineering, information theory, cryptography, statistics or a related field. - Advanced knowledge of probability theory
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of microbial ecology and technology, with a strong interest and expertise in bioremediation technologies. The successful candidate will join the Microbial Community Engineering (MiCE) research group, led by Prof
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, the controller will be tested in the intrahippocampal kainic acid mouse model. The applicant should hold an M. Sc. (or equivalent) degree in biomedical, electrical, or physics engineering, or in a
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internationally. Job profile You hold a Master’s degree in computer science, electrical engineering, (technical) cognitive science, Human-Computer Interaction or areas relevant to the research topic (for example
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Electrical Engineering, Master in Telecommunication, or a related field. You are interested to do research in an academic environment for a 4 years period in view of a PhD degree. You have the necessary
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designed and is managed to optimally use the available electrical and thermal energy. In essence, focus has shifted from optimizing production goals and subsequently determining where and how to get energy
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networks and their demonstration as proof-of-concept implementation in an experimental 6G testbed. Your qualifications MSc in Computer Science or Electrical Engineering Strong background in networking and
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the global carbon cycle and the global climate. The shape and size of trees within a forest are impacted by forest dynamics (e.g. tree growth and forest disturbances). Our current knowledge about forest