56 phd-mathematical-modelling-population-modelling Postdoctoral positions at Nature Careers in Germany
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a resilience performance modelling framework at the regional and European level. The place of employment is Hamburg. GERICS develops science-based prototype products and services in support to
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CRISPR/Cas9, cloning, protein biochemistry, as well as work with cell cultures and primary patient samples (S1/S2) Conducting and establishing experiments with in vivo mouse models Analysis and
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after damage. Methodologically, the project aims to develop novel organoid-on-a-chip models of kidney injury. The applied techniques will include mouse and human kidney organoids, tissue engineering
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in vitro platforms and humanized mouse models Your Profile: Required qualifications: PhD in virology, immunology, or a related field Degree in life sciences, human medicine, or veterinary medicine In
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, and positioning for subsequent fundraising and go-to-market activities Actively contribute to securing follow-up funding together with the fundraising team Your profile University degree (MSc or PhD) in
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). The aim is to use modern molecular biological methods and in vivo models to investigate the role of fibroblastic plasticity in cardiac remodeling and loss of function. Your role: Independent work on the
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of inflammation remains the role of hypoxia. In this 3-year CRC (DFG)-funded position, we will use novel genetic reporters and transgenic models to specifically address the role of hypoxia during these processes
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PostDoc in "Sustaining the keystone: Rethinking Antarctic krill fishery management under climate ...
CCAMLR. CCAMLR aims to manage this fishery sustainably, relying on ecosystem-based approaches incorporating data on predator population, ecosystem state, and krill biomass and distribution. The krill
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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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PhD or equivalent qualification in computer science, statistics, mathematics, physics, and/or engineering, or a degree in biological science with demonstrated experience in computational and statistical