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, and to develop predictive models that can guide the rational design of next-generation BioAg products tailored for diverse agricultural systems around the world. Responsibilities The postdoc position
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to protein engineering and molecular cloning, Experienced in bioinformatic genome analysis and computational tools related to protein structure analysis and prediction, Sufficient expertise in standard
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to protein engineering and molecular cloning, Experienced in bioinformatic genome analysis and computational tools related to protein structure analysis and prediction, Sufficient expertise in standard
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factors that predict the magnitude and spatiotemporal dynamics of applause behavior. The postdoc will also be expected to participate actively, constructively and respectfully in the academic life of CoMPS
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potential for exploiting temperature gradients for producing electricity and predict their long-term performance under real operating conditions. The project also includes modeling of heat transfer and
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, protocols, and data standards across collaborating institutions and scales. This collaboration will support the generation of coherent, high-quality datasets and enable the development of predictive models
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and transport of proteins and lipids between cytosol and cilia by an unknown gating mechanism. By employing an integrative approach involving protein structure prediction by AlphaFold 3 combined with
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motivated Postdoc candidate within the field of Immunoinformatics and prediction of T cell immunogenicity. HLA class II antigen presentation form the cornerstone of T-helper cell immunogenicity. Over the last
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talented and motivated Postdoc candidate within the field of Immunoinformatics and prediction of T cell immunogenicity. HLA class II antigen presentation form the cornerstone of T-helper cell immunogenicity
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“Functionality-targeted isolation and modification of caseins from precision fermentation biomass (FUNCAS)”. The aim of the project is to identify, understand and predict the relationships between composition