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malignant renal cancer, clear cell renal cell carcinoma (ccRCC). Research integrates state-of-the-art molecular biology using cell-based and animal models as well as system biology bioinformatics multiomics
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execution of complex experiments or simulations, and mentor junior researchers. Responsibilities Lead and execute research projects related to quantum computation, particularly the generation and control
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experiments on pore scale and core scale using MRI, but also to provide input for modelling and numerical simulations. The PhD candidate will collaborate with industry partners and take active part in a larger
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functional genomics, CRISPR-based screening, or single-cell technologies. Hands-on experience with next-generation sequencing library prep and tissue culture models. Demonstrated ability to conduct independent
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complete application consists of: An application Transcript(s) – For this opportunity, an unofficial transcript or copy of the student academic records printed by the applicant or by academic advisors from
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and algorithm development, modeling machine learning, and scientific simulation Ability to work well in an interdisciplinary environment, and to collaborate with experimentalists Strong oral and written
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updates, and interoperability at scale. In close collaboration with project partners, the PhD candidate will focus on relevant data modeling and processing approaches for data gap filling, redundancy
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develop AI models to predict and study the tumor evolution and lineages using the multiomic measurements from both bulk, single-cell, and spatial technologies. The lab emphasizes understanding
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Responsibilities: The successful applicant will be responsible for: Obtaining theoretical results at the interface of geometry and biophysics Designing, implementing, and testing algorithms to model active matter
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healthy resting conditions. The researcher will use a combination of synovial tissue organoid systems and transgenic mouse models to delineate the role of the proteoglycan-4 (the gene that encodes lubricin