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imaging, high-content, single-cell resolution) to assay compound activity Develop imaging assays capable of distinguishing mechanism of action (e.g. growth inhibition, biofilm/attachment disruption
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. Highly organized and interactive personality. Detail-oriented, able to multitask and perform precise work, as well as record and report results with clarity and details. Proactive and motivated to learn
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environment, enriched by initiatives promoting equality, inclusion, diversity, well-being and sustainability as well as an engaging program of cultural, sports and community activities throughout the year. Read
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present your work internationally. You are the ideal candidate if You hold a PhD in mathematics, computer science or a related field You have a strong background in formal verification with Lean You have
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and in computer architecture domains, our ability to analyze data still falls behind the unstoppable data collection rates. Data-intensive applications are increasingly more demanding in sophisticated
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in Molecular Medicine (AIMM) Lab, led by Prof. Charlotte Bunne at EPFL, sits at the interface of computer science and the life sciences, affiliated with both the School of Computer and Communication
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results). Degree in computer science, software engineering, data science, machine learning, or an equivalent field; recent graduates welcome. Strong Python skills; experience with APIs, databases, data
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and physical). Organization of meetings, seminars, visits, and travel (logistics, accommodations, visas). Correspondence and agenda management in French, English, and German; minute-taking. Profile
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Intelligence in Molecular Medicine (AIMM) Lab, led by Prof. Charlotte Bunne at EPFL, sits at the interface of computer science, artificial intelligence, and biomedical applications. The lab is affiliated with
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, analytical, and communication skills. Ability to work independently while engaging a broad range of stakeholders. Fluency in English is required; proficiency in French or German is an asset. We offer