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Field
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work on optimization and optimal control related to partial differential equations with emphasis on new developments related to machine learning and data science. Your profile: • Doctorate related
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the human blood system, and the heterogeneity that exists therein. You will use a combination of systems biology and data science to gain a better understanding of cell differentiation at the protein-level
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experience in human induced pluripotent stem cell techniques including line derivation, cardiac differentiation, and gene editing. Excellent communication skills written and verbal Successful candidates will
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Assistant (Postdoc) to join the research team led by Univ. Prof. Olga Mula. Our group’s work sits at the forefront of numerical analysis for Partial Differential Equations, enriched with data-driven
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, or a closely related field with expertise in one or more of the following areas: Finite element methods for partial differential equations Multiscale numerical methods Flow and transport in porous
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background in differential geometry, algebraic geometry, topology and quantum field theory. However, applications from all well-qualified candidates will be considered. Applicants should have an earned
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one or more of the following areas: 1) iPSC differentiation and organoid generation; 2) vascular biology and vascular aging; 3) tissue regeneration and repair; 4) bioengineering or chemical engineering
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the forefront of numerical analysis for Partial Differential Equations, enriched with data-driven methodologies -- a powerful combination that’s redefining what’s possible in computational science, and is playing
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The candidate will work on a project that aims to unravel the role of mechanical forces in maintaining and differentiating human embryonic stem cells. Specifically, the candidate will investigate how different
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Postdoctoral Appointee - Uncertainty Quantification and Modeling of Large-Scale Dynamics in Networks
mathematics, or a related field Candidates should have expertise in two or more of the following areas: Uncertainty quantification, numerical solutions of differential equations, and stochastic processes