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into cross-seeding between microbiome-borne amyloidogenic proteins and human proteins implicated in neurodegenerative disea Your responsibilities: The doctoral candidate will perform computational analysis
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collegial Department (29 faculty) that nucleates a larger interactive community (nearly 100 faculty). We support an exceptional Graduate Training Program, host two training grants, a robust weekly seminar
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, Large Language Models, Human-Computer Interaction, Virtual reality. The selected candidate will work on the design and implementation of a human-computer interface to support education using an AI-based
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to: Be trained to work on the collaborative PLAY study. Work on coding and collating the dataset including coding using the R program language for data cleaning and analysis. Organize lab meetings and
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Republic with focus on the historiographical reflection of the interaction between humanities and politics, and on the dialogue between humanities and natural sciences in the 20th and 21th centuries. The position
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program language for data cleaning and analysis. Organize lab meetings and coordinate training and schedules for our undergraduate research team, submitting expense reports related to conferences and
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pathogen Yersinia pestis as well as studies with various oral pathogens. Studies involving the interactions of oral pathogens and human cells/tissues or biomaterials and human cells/tissues will also be
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join our research team at Purdue University. Working with engineers, biologists and clinicians, our research vision is to improve human health through fundamental and applied research focusing
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interaction networks that contribute to the pathogenesis of these diseases. This is a full-time, non-tenure-track position working in the Laboratory of Molecular Therapeutics. The appointment is annually
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), the CRC/Transregio 124 “Pathogenic Fungi and Their Human Host: Networks of Interaction” (www.funginet.de ) funded by the Deutsche Forschungsgemeinschaft, and the consortium SynThera funded by the Carl Zeiss