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, remanufacturing, repurposing and recycling to each other for the realization of an agile network. Various machine learning approaches will be used here. Your tasks are: Requirements definition, survey and
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candidate will teach two research streams per year, either two sections of one theme or two differently themed streams. Each stream is capped at 25 students. This amounts to a 2/2 teaching load with a maximum
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, motivation to learn new skills as well as excellent written and oral skills is essential.Example publications from the Lab:•Detection of host cell microprotein impurities in antibody drug products. 2024 Nature
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Machine Learning Problems > Constantly questions finance/trading data and stays motivated to seek answers despite most often proving that there is no correlation or signal > Experience in setup of research
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Machine Learning Problems > Constantly questions finance/trading data and stays motivated to seek answers despite most often proving that there is no correlation or signal > Experience in setup of research
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deeply committed to using that knowledge to make a difference in people’s lives. The department has 32 faculty members, some with dual appointments that enrich our transdisciplinary approach to design
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Established record leading publications A collaborative approach and ability to work independently Experience with interdisciplinary methodologies and the integration of different data sources is preferred
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Project 2: Experience working with large datasets and machine learning Reasonable proficiency in any coding language used in data science Mixed-methods research experience Online Application Required