49 engineering-in-image-processing-"MONASH-UNIVERSITY" Postdoctoral positions at Nature Careers in Germany
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Germany Web: https://www.mpinat.mpg.de/grubmueller Social Media: https://bsky.app/profile/compbiophys.bsky.social www.mpinat.mpg.de/ Information pursuant to Article 13 DSGVO on the collection and processing
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office.pietschmann@twincore.de . How to apply: When sending us your application documents, please confirm that you have read our privacy policy and that you agree to the processing of your personal data. Please use
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own simulations) identification of critical biogeophysical Earth system processes and feedbacks that shape planetary resilience coordination with the other scientists in the PB-TIP project, within
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, signal processing, and data mining A strong background in programming, statistical analysis, and spatial modelling and mapping Highly motivated to work on the subject and eager to work in an
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PostDoc in "Geopolitical dilemmas for management: transfer of governance for the Southern Ocean" ...
that diverse teams and a variety of perspectives enrich our work and our daily collaboration. In a continuous process of learning and reflection, we aim to ensure that all our employees can be themselves and
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PostDoc in "Sustaining the keystone: Rethinking Antarctic krill fishery management under climate ...
opportunities. We are convinced that diverse teams and a variety of perspectives enrich our work and our daily collaboration. In a continuous process of learning and reflection, we aim to ensure that all our
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Postdoc in "Navigating uncertainty: Planning marine protected areas in a changing Southern Ocean"...
a continuous process of learning and reflection, we aim to ensure that all our employees can be themselves and feel a sense of belonging. We welcome applications from qualified people regardless
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: Science and teaching Working hours: full-time Contract: TV-L Your tasks The available research projects aim to understand and develop strategies to treat heart disease You will combine epigenetic, chromatin
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Python, for processing and interpreting complex proteomics data Familiarity with proteomics software for data analysis, visualization, and management Experience with biological samples (e.g., FFPE, plasma