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Field
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biological proxies, we reconstruct paleoclimates, ecosystem dynamics and evolutionary processes, and refine the geologic time scale by applying an integrated stratigraphic approach. We are particularly
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, enabling energy-efficient, quiet, and long-duration monitoring of ecosystems. The research will integrate novel lightweight perception modalities for robust perching in the wild, agile control algorithms
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function itself remains intact. So, how do cells achieve this robustness when their underlying molecular networks diversify so dramatically over evolutionary time? Our lab has shown that in budding yeast
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diversify so dramatically over evolutionary time? Our lab has shown that in budding yeast, the polarity network can adapt to the loss of a key protein by losing three additional proteins. These seemingly
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tagging algorithm development as well as physics data analysis, with a focus on Higgs boson physics, top quark physics, and searches for new physics signatures. This is what you will do After the discovery
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we are looking for Highly motivated candidate who is eager to learn MSc in Ecology, Evolutionary Biology, Entomology or related field Strong interest in the ecology and evolution of insects Ability
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systems strong analytical and problem-solving skills fluency in English, both written and spoken Not required, but helpful: Experience with biomedical data/algorithms An affinity for applications
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, the scattering geometry can be reconstructed mathematically (this is called inverse scattering). This requires both sophisticated mathematical models and efficiently implemented algorithms. In the case of wafer
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the entire system, where many interconnected modules affect each other. In this project, you will be designing algorithms to guarantee the reliable operation of semiconductor machines, together with a highly
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Not required, but helpful: Experience with biomedical data/algorithms An affinity for applications of technology Contributions to open source projects This is what we offer A temporary contract for 38