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scaling and generalization behavior Roll out the model to the global user community Requirements PhD or MSc in computer science, physics, mathematics or a related discipline Experience with large-scale HPC
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experience and enhanced potential to receive an ERC Starting Grant in the future. Open to both PhD (natural sciences) and MD (medical sciences) holders. From a variety of academic backgrounds: molecular
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) assess future changes in these patterns under different global warming scenarios. Requirements: The successful applicant should hold a MSc or PhD degree in physics, mathematics/statistics, climate science
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PostDoc in "Sustaining the keystone: Rethinking Antarctic krill fishery management under climate ...
ecosystems. Your Profile A PhD in marine biology, conservation biology, fishery management & conservation, or related fields A strong background in handling large data sets, programming (preferably in R
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Postdoc in "Navigating uncertainty: Planning marine protected areas in a changing Southern Ocean"...
productivity and strategies for sustainable management of selected marine ecosystems. Your Profile A PhD in conservation biology, geoinformatics, spatial ecology, or a related field A strong background in
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for sustainable management of selected marine ecosystems. Your Profile A PhD in (bio)acoustics, spatial ecology, marine environmental science, or a related subject Experienced in acoustic propagation modelling
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two PhD students in the groups, and your newly developed tools will support the analysis and interpretation of their data. You will interact strongly with several international collaborators, both
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communication and collaboration. Finnish language is not required. Other requirements: PhD degree in Physics with excellent academic track records. Experience in biological, fluid, or soft matter physics research
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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
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, probabilistic models Representation learning, self-supervised learning, foundation models Data analysis, non-linear statistics, knowledge management Your profile PhD in Computer Science, Bioinformatics