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Field
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Do you want to combine high-throughput directed evolution with machine-learning analysis of deep sequencing data to engineer better antibodies? The Sormanni Lab in the Department of Chemical
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broad European and international network through its collaboration schemes and open-science activities. Through its research, the ACT provides ESA with early scientific insight on emerging trends and acts
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and oral communication skills in English Motivation for working in the laboratory, carrying out experiments, and data analysis Experience in one of the following fields is required from the chosen
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. Work will emphasize the development and analysis of advanced methods in areas such as sparse signal recovery, compressed sensing, and statistical estimation, with a particular focus on their role in
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with the goal of improving human health. Aligned with Rutgers University–New Brunswick and collaborating university wide, RBHS includes eight schools, a behavioral health network, and five centers and
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Max Planck Institute for Demographic Research, Rostock | Rostock, Mecklenburg Vorpommern | Germany | 14 days ago
closely with international research groups in demography, epidemiology, and medicine, and is embedded in MPIDR's broader network of researchers working on population health. Who we are looking for We invite
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statistical / machine learning methods, pathway/network analysis or artificial intelligence approaches. Other requirements: The candidate should have a PhD or equivalent degree in bioinformatics, artificial
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NMR studies of intact bacterial cells, cell walls, and extracellular matrices, as well as industrially relevant polymers and catalysts; Structural and compositional analysis of functional amyloids
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, the consortium aims to contribute to the development of inclusive and effective climate adaptation solutions. As a postdoctoral researcher, you will be primarily responsible for conducting a comparative analysis
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and clinical metadata. Conduct network-based analysis (gene regulatory networks, protein-protein interaction networks, metabolic networks) to identify key disease drivers and biomarkers. Build