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datasets with multi-omics profiles of tumors from previous studies Developing new machine learning models through collaboration with the Swiss Data Science Centre Establishing data analysis pipelines
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. The lab will be a multidisciplinary environment of approximately 10 people spanning molecular biologists, biochemists, computational biologists, machine-learning researchers, physicists, and engineers, with
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society You can expect numerous benefits , such as public transport season tickets and car sharing, a wide range of sports offered by the ASVZ , childcare and attractive pension benefits chevron_right
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working as part of team Sound computer skills (MSOffice, SAP) Flair for solution-oriented, unbureaucratic approaches Workplace Workplace We offer Work-Life Balance Flexible working models (such as part-time
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intimidated by developing large systems, enjoys working with people and will rise to meet unforeseen challenges. Understanding of network security and computer networks. Advanced degree in computer science
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teaching in key computing areas, including High-Performance Computing (HPC), Artificial Intelligence and Machine Learning (AI/ML), scientific computing, trusted research environments, storage, and data
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laboratory work, good organizational skills and the ability to work independently. Applicants should enjoy learning new methods and working in a collaborative research environment. Enthusiasm for infection
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are comfortable working at the interface of technical, pedagogical and operational teams. You are not expected to develop software or machine-learning models, but you should be able to engage
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archives) Designing and implementing machine learning models for analysing and predicting well-being indicators Collaborating closely with other project members (including a second doctoral student working
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100%, Zurich, fixed-term The AI Characters team at ETH Zurich’s Computer Graphics Laboratory is seeking a Research Engineer to take a central role in developing and maintaining our interactive AI