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have an interest in ecological questions concerning infectious diseases of plants in natural and agricultural systems and experience working with remotely sensed data. Candidates are required to have a
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, Revisiting wind wave growth with fully-coupled direct numerical simulations, J. Fluid Mech. 951 [2022] A18); and/or iii) small-scale wave dynamics in the context of remote sensing and the effect of waves and
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an interest in sensory ecology and a strong background in scientific imaging, virtual reality, animation, drone imaging and/or remote sensing. 3) Evolution of avian cone opsins and oil droplets. We seek
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have an interest in ecological questions concerning infectious diseases of plants in natural and agricultural systems and experience working with remotely sensed data. Candidates are required to have a
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, Revisiting wind wave growth with fully-coupled direct numerical simulations, J. Fluid Mech. 951 [2022] A18); and/or iii) small-scale wave dynamics in the context of remote sensing and the effect of waves and
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background in scientific imaging, virtual reality, animation, drone imaging and/or remote sensing. 3) Evolution of avian cone opsins and oil droplets. We seek applicants with a strong background in comparative
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infectious diseases of plants in natural and agricultural systems and experience working with remotely sensed data. Candidates are required to have a Ph.D. in quantitative ecology, climate sciences, population
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numerical simulations, J. Fluid Mech. 951 [2022] A18); and/or iii) small-scale wave dynamics in the context of remote sensing and the effect of waves and wave breaking on upper ocean processes (Langmuir