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. Experience with phase retrieval algorithms, clean room use and e-beam lithography are beneficial. The candidate will be expected to participate at international user facilities and thus will be expected
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, or a related field Strong experience in spatial and/or landscape modelling Proficiency in R and/or Python Experience with GIS and remote sensing Ability to work with large and heterogeneous datasets
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experience, are encouraged to apply. Along the same lines, candidates with a strong foundation in machine learning, minimal experience in freshwater ecology, but a strong interest to develop models
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