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examining cyber campaigns run on social media; Research experience with examining contexts on social media; Experience with transitioning research into usable tools; Computer programming skills and data
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Job Description The Graduate School’s Master of Human-Computer Interaction and Design (MHCI+D) program has an outstanding opportunity for a Graduate Program Advisor to join their team. About this
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components. Climb, operate machines, operate power tools, and report on the status of telescope and observations to SPT collaboration through weekly teleconferences. Other fieldwork for instrument deployment
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equipment and hand tools 3. Assists with event set-up and breakdown 4. Ensures assigned areas are clean, organized and stocked 5. Delivers and unloads materials, tools and equipment to assigned location
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, machine learning, and artificial intelligence. This position is eligible for a partial remote work arrangement. Responsibilities Design, develop, test, and debug complex software programs. Implement and
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Germany | 1 day ago
AI in biology. The successful candidate will design and implement physics-informed machine learning frameworks and predictive models to uncover how gene expression and mechanical forces interact
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experiments (wet lab) and data analysis with a focus on either aspect of the work. Proposals describing research that leads to new tools and/or methods for improving confidence in microbial measurement
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community members. Strong written communication skills. Preferred Qualifications: Experience with computational tools for microbiome sequencing analysis (e.g., HUMAnN, MetaPhlAn, or similar). Proficiency in
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, drive belts, and sheaves without direct supervision. Shall be able to repair or fabricate parts using standard machine shop tools. Shall be able to troubleshoot, service, and perform preventive
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Cantini, works at the interface of machine learning and biology (tools developed by the team: https://github.com/cantinilab ). The team is composed of 9 people : 4PhD students, 3 post doc, 1 research