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approaches Ability to critically interpret data from said methods and guide experimental strategy, in close partnership with assay development, structural biology, and screening specialists Prior
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. Examples of research topics include but are not limited to: development of new AI architectures for biology and hybrid models that combine deep learning with mechanistic models; foundation models
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resources, to scale ML development and deployment. Your profile PhD in machine learning, computer science, computational biology, statistics, or a related field. Knowledge of modern deep learning frameworks
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develop artificial intelligence methods and mechanistic mathematical models to address fundamental questions in biology . Examples of research topics include but are not limited to: development of new AI
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datasets and cutting-edge infrastructure. A collaborative and international research environment. Support for your personal and professional development through training, mentoring, and career development. A
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transcriptomics On the longer term, together with other lab technicians from our team, you provide support in method development Profile You possess at the minimum a degree in Biotechnological, Biomedical or
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to: development of new AI architectures for biology and hybrid models that combine deep learning with mechanistic models; foundation models of genome regulation using single-cell and spatial multi
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artificial intelligence methods and mechanistic mathematical models to address fundamental questions in biology . Examples of research topics include but are not limited to: development of new AI
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emerging technologies in next gen sequencing, genomics, and transcriptomics On the longer term, together with other lab technicians from our team, you provide support in method development Profile You
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Group Leader and Professor AI in Biology - Dept of Computer Science and Dept. Electrical Engineering
mathematical models to address fundamental questions in biology . Examples of research topics include but are not limited to: development of new AI architectures for biology and hybrid models that