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will join a dynamic, interdisciplinary team focusedon developing and applying novel AI and statistical methods for multi-omics data analysis. This position offers a unique opportunity to work at the
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scalable bioinformatics pipelines on cloud-based infrastructure. The Research Fellow will be responsible for the code base supporting the large-scale genomic processing and analysis pipelines at the SMaHT
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, Lausanne 1015, Switzerland [map ] Subject Areas: • stochastic differential equations (SDEs); stochastic partial differential equations (SPDEs); stochastic processes on manifolds; multi-scale stochastic
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, public authorities in their decisions and businesses in their strategies. Do you want to know more about LIST? Check our website: https://www.list.lu/ How will you contribute? You will develop a multi
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ecosystem services. By synergistically combining passive/active multi-scale remote sensing data with mechanistic biogeochemical and hydrological models, this research aims to address critical knowledge gaps
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combines research-oriented bioinformatics with scientific pipeline and software development. The selected candidate will contribute to analyses of large-scale genomics datasets and support the development
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salary scales (https://www.ucop.edu/academic-personnel-programs/compensation/2024-25-academic-salary-scales.html ) set the minimum pay determined by rank and/or step at appointment. See the following table
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perform biotransformations on a multi-gram scale. This is a highly interdisciplinary project at the cutting edge of enzyme engineering research and will offer diverse training opportunities for a post
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industry to design, develop and maintain the research software that drives the two projects. Your responsibilities will include: Developing high-quality, well-documented software to support multi-scale
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develops predictive, multi-scale computational frameworks to guide sustainable microbial food production. By coupling data science with mechanistic models, this collaboration between universities, research