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Reliability Engineering in Deployment Architectures, Software Engineering Methods for Performance Engineering, Software Engineering Methods for Reliability Engineering, Continuous Delivery/Deployment (CI/CD
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surrogate models that approximate complex physical and biological systems traditionally modeled by PDEs or other computationally expensive simulations. By incorporating physical priors such as conservation
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assurance This is part of your personality: PhD in biology, microbiology or biochemistry Experience in Archaea research, including genomics and CRISPR-Cas systems Proactive and eager to learn new methods and
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candidate will have prior exposure to modern developments in at least one of these fields: numerical analysis of PDEs (with deterministic and/or stochastic methods), Gaussian Random Fields, mathematical
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. Ready to be part of our team? Let’s shape the future together! Your personal sphere of play: The Ries lab is developing super-resolution microscopy methods for structural cell biology. In this project we
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studies, and a genuine passion for interdisciplinary social science research; A robust conceptual and methodological foundation in the social sciences, with a solid skills in qualitative methods; Excellent
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expertise in cryo-EM • Experience in RNA biology, CRISPR-Cas genome editing, and analysis of proteomics, RNA/DNA sequencing datasets is highly desired • Proactive and eager to learn new methods and