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and graduate levels. Teaching will primarily take place within the Life Sciences Engineering curriculum, and the ability to teach STEM subjects will be a positive factor in the evaluation process. EPFL
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quantum sensing and information processing, molecular magnetism, spin chemistry, renewable energy conversion and storage, or sustainable chemical production. We seek candidates with an outstanding research
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operational excellence. Provide ongoing training and support, foster a culture of collaboration and accountability, and drive continuous improvement of internal processes related to CTIS submissions and
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career as a principal investigator. Possess a strong track record of innovation in computer vision, AI, and/or causal inference, with a passion for applying these to human model systems. Exhibit
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technologies, high throughput screening and multi-dimensional data analysis. In addition, you have a proven record of implementing end-to-end automation of laboratory processes. You exhibit a keen awareness of
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scientific data, and drive decision making processes. You are an expert in cell biology and assay development, in particular, knowledge in either Neuroscience or Immunology and a strong familiarity with high
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molecular processes occurring within and between cells to explore molecular mechanisms across scales in biology. We encourage applicants who combine experimental and theoretical/computational approaches
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responses, metabolic alterations or regenerative processes. Preference will be given to applications that develop and use alternative animal models or innovative assays. Strong track record in research, with
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) and the Medical Director of the University Hospital Zurich, Prof. Malcolm Kohler, malcolm.kohler@usz.ch (Tel. +41 44 255 86 48). Questions about the application procedure Information on your application
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methods Modeling of large-scale data, in particular omics (genomics, transcriptomics, metabolomics, etc.) and/or imaging data, across biological scales to study molecular and other biological processes