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PostDoc in "Sustaining the keystone: Rethinking Antarctic krill fishery management under climate ...
the current management concept adequately address the emerging challenges posed by climate change and a fast-growing fishery? How can the management concept be improved, potentially by learning from management
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participants, and mathematical / statistical modeling. Requirements for employment are a completed PhD degree in a relevant field (Linguistics, Cognitive Science, Psychology, Philosophy, or similar), near native
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, behavioral, experimental and/or applied microeconomics or other related fields, and you have completed your PhD by job start or are close to completing it. You have already proven your relevant knowledge and
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projects of the research group Qualification Required: A diploma and a PhD in microbial natural product chemistry Hands-on experience and a strong understanding of metabolomics/dereplication of natural
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machine learning-based systems to integrate more renewable energy into our energy systems and make energy use more efficient. We develop new optimization methods, machine learning algorithms, and
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PostDoc in "Geopolitical dilemmas for management: transfer of governance for the Southern Ocean" ...
capabilities of future marine biodiversity and its role in maintaining key ecosystem functions such as productivity and strategies for sustainable management of selected marine ecosystems. Your Profile PhD in a
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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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, or machine learning is also appreciated. PhD: The candidate is expected to have some background in theoretical computer science, including some of the following areas: automata, logic, games, verification
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collaboration with our clinical colleagues for investigating visual motion in a group of healthy subjects. The successful applicant holds a PhD degree (or equivalent) in a relevant academic area such as applied