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procedure will be finished, all your application data will be removed according to data protection regulation. For further information regarding the position and research unit please contact Prof. Dr. Martin
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Postdoc in "Navigating uncertainty: Planning marine protected areas in a changing Southern Ocean"...
statistics and the ability to apply quantitative analysis to ecological data A strong background in programming (preferably in R), including data manipulation, statistical analysis, and spatial modelling and
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sustainable transformations toward a biobased economy. Within the framework of the Horizon Europe project NEXRUR, the following position is to be filled as part of the ISTS team: Researcher in Sustainability
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The International Office helps visiting academics, PhD students, and postdocs who are travelling to Munich for a set period of time to find accommodation. For further information, please visit the following link
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and how can these be quantified? The PhD project will be largely experimental and will begin with an identification of a set of research questions based on detailed literature survey. The preliminary
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Biology of Ion Channels (Chembion) – ideally with you on board! The position is part of the externally-funded collaborative research endeavor Chembion and is open from June 1st, 2025. RESPONSIBILITIES
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of in vitro and in vivo pre-clinical models, including hiPSC-derived systems The postdoctoral project will combine experimental (wet-lab) and computational (dry lab) approaches Be part of Geman Center
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and skills: You hold a PhD in Bioinformatics, Computational Biology, Genomics or a related field. You bring proven expertise in deep learning and statistical modelling of biological data. You have
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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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, the concept of a cross-university PhD programme involving non-university institutions was developed to enable the combination of different scientific and technological disciplines relevant to biomedical data