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Field
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; knowledge in numerical methods and simulation, particularly for partial differential equations, and basic knowledge in mathematical modeling with/and PDEs, with a focus on fluid or biomechanics, porous media
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-dimensional data. We are interested in both data-driven models as well as models built from synthetic data. Within privacy, we are interested in different types of privacy measures and models (differential and
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differentiation protocols for iPSC perform CRISPR-based genome editing and molecular biology experiments develop and optimize high-throughput sequencing techniques work with a substantial amount of multi-Omics data
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differential equations. • Basic knowledge in mathematical modeling with/and partial differential equations, with a focus on fluid or biomechanics, porous media. • Optional/advantageous: Experience with Lattice
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been shown to accelerate and improve the training procedure of SNNs by defining new cost functions that are differentiable and easier to optimize. They can also handle quantized weights, e.g., using
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coding sequences (CDS) and their cognate 3’ untranslated regions (3’UTRs) are differentially expressed in development and disease. Notably, the Nanog 3’UTR functions as a long non-coding RNA to promote
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Experience in molecular biology (PCR, CRISPR/Cas9), cell biology (primary and cell lines), and hematopoietic lineage differentiation and the mechanistic underpinnings of lineage commitment. Pay and Benefits
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biology, vascular biology, and/or bioinformatics, supported by a solid publication record. We highly value prior experience in one or more of the following areas: 1) iPSC differentiation and organoid
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differential equations, computational fluid dynamics, material science, dynamical systems, numerical analysis, stochastic analysis, graph theory and applications, mathematical biology, financial mathematics
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phenological data using camera and drone-based imagery. Use genetic analyses to assess the relationship between genetic differentiation and phenological variation. Develop and implement advanced statistical