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Matlab, Python, C++ or other relevant language and experience in deep neural networks. Experience and demonstrable expert knowledge in one or more or the following areas: deep learning; graph neural
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at traditional domains (applied mathematics, data science, systems and control theory), multidisciplinary journals for a broad scientific audience, as well as discipline-specific journals in other domains (e.g
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learning and one or more of the following: transformer networks, implicit neural functions, graph neural networks and/or probabilistic graphical models; and causal inference. • An outstanding publication
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languages (e.g., Julia, Matlab, C#, C++) Familiarity with the applications and theory of environmental genomics Qualifications: A PhD in quantitative ecology, quantitative conservation biology, applied