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5 Jun 2024 Job Information Organisation/Company ETH Zürich Research Field Environmental science » Earth science Environmental science » Other Mathematics » Statistics Physics » Computational physics
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are possible and encouraged. Collaborations include the National Weather Service MeteoSwiss, the Swiss Data Science Center SDSC, Prof. Nicolai Meinshausen (statistics and machine learning), various group leaders
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proficiency in relevant software tools for environmental assessment and statistical analysis Excellent written and verbal communication skills in English Ability to work effectively in a collaborative team
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), material flow analysis (MFA), and statistical analysis. In particular, the following tasks will be performed in collaboration with the two doctoral students: modeling of the embodied and operational energy
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, programming and statistical evaluation Machine learning analyses: implementation of established and new workflows Coordination of activities with Consortium partners, including presentation of results
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), material flow analysis (MFA), and statistical analysis. In particular, the following tasks will be performed in collaboration with the two doctoral students: modeling of the embodied and operational energy
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their thesis work are eligible to apply) • Strong expertise in mammalian cell culture, in vitro disease models, Immunohistochemistry and molecular biology. • Proven experience in statistical analysis
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experience in Machine Learning with a PhD degree from a university in Computer Science, or related fields, with a proven track record in statistical machine learning, deep learning, and graphical modelling
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statistical and computational data analysis. Familiarity with relevant software and tools. Personal Attributes: - Innovative Thinking: Ability to think creatively and propose novel solutions to complex