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Field
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dynamics at the niche and national levels. Understanding transformative co-evolutionary (social and technical) energy system change necessitates a move beyond mono-disciplinary and interdisciplinary
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like contestation, social resistance and conflict disincentivize ECs as do dynamics at the niche and national levels. Understanding transformative co-evolutionary (social and technical) energy system
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are currently implementing a novel ‘evolutionary inspired’ breeding approach that involves first genetic improvement at the diploid level using heterotic pools, followed by a final polyploidization event to
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is an advantage but is not required. A strong interest in evolutionary principles, ecological principles, and data science are expected. The applicant must be interested in working in
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an emphasis on the development of methodologies and techniques for Evolutionary Computation and Machine Learning. Work plan: Review of the state of the art in Machine Learning and Deep Reinforcement Learning
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evolutionary insights to conservation management - Lead supervisor: Dr Catherine Jones Drivers of variation between pathogens in host range and implications for spill-over risk at the wildlife-livestock
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team founded in 2019. About the Department: The Department of Biological Sciences offers two Ph.D. tracks (Bioscience and Ecology and Evolutionary Biology) and has over 100 graduate students and over
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to disease development experience in relevant evolutionary biology and phylogenetic sequence analysis publications in peer-reviewed scientific journals great importance will be placed on personal qualities
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team founded in 2019. About the Department: The Department of Biological Sciences offers two Ph.D. tracks (Bioscience and Ecology and Evolutionary Biology) and has over 100 graduate students and over
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the independent scientific research necessary for the completion of a doctorate. The limitation complies to § 2, 1 WissZeitVG. Job profile – We require •Strong interest and motivation in conducting evolutionary and