157 linked-data-"https:"-"https:"-"https:"-"UCL"-"UCL" Postdoctoral positions at Nature Careers
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discovery, generating mechanistic data that directly informs the development of next‑generation medicines for neurological disorders Base Salary, Academic Level A $113,400 - $121,054 + 17% superannuation
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scientific contribution of the project lies in linking micro-level motivational and well-being processes with meso-level organizational practices and their spatial embeddedness, thereby advancing theory
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for the optimal candidate later dates may be negotiated. You can read more about career paths at DTU here . Further information For further information about the research at SurfCat at the Department of Physics
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. However, progress is constrained by the scarcity of high-quality, well-characterized in vitro T-cell immunogenicity data. In this project, we will leverage expertise and technology in peptide T-cell
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links to representative publications on PubMed) Summary of your current research and key accomplishments Names and contact information of three references We welcome applicants from diverse backgrounds
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management and scientific writing experience, excellent communication skills, and a collaborative attitude. To apply: please submit a curriculum vitae, a concise summary of research contributions with links
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this link: Fellows4Fungi.eu Applications must be submitted via the Leibniz-HKI online application system . Please upload the project description, two letters of reference and the ethics self-assessment table
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. Please also see the following articles published over the past four years for additional information: Cell 187:205 (2024); Nature 624:154 (2023); Nature 620:200 (2023); Nature 623:1034 (2023); Nature
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basin by quantifying the relationship between the dynamics of soil moisture connectivity and streamflow response. This study will integrate satellite-, ground-, and simulation-based data on the landscape
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Two postdoctoral positions (3-year) in Experimental Evolution of Methanogenic Microbiomes in Bioe...
adaptive trajectories across generations, and use omics-based approaches to identify mutations or functional shifts linked to improved system performance. You will work closely with collaborators who develop