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Field
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technological progress in our increasingly digital, data- and algorithm-driven world. Integreat develops theories, methods, models, and algorithms that integrate general and domain-specific knowledge with data
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algorithms and AI-based solutions for data processing and validation, and provides scientific expertise for the implementation of future remote sensing missions. The team’s work bridges earth observation with
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algorithms, including machine unlearning techniques, to enhance model robustness and reliability. Design and execute rigorous AI testing frameworks to assess and mitigate risks in AI systems. Collaborate with
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recognition. The Department invites applications for multiple tenured or tenure-track positions at the Assistant, Associate, or Full Professor levels. The positions are 9-month full-time appointments, paid over
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require expertise in both database design and complex statistical methods and algorithms. Expected projects will include design of research and operational databases and statistical analyses, and
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, Depmap, etc. - Experience with classical machine learning algorithms. Desired Attributes: - Demonstrated ability to work collaboratively and in a team-oriented environment. - Evidence of strong
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to contributions in top-tier international journals and real-world implementations. Responsibilities: Develop and refine algorithms for decision optimization and risk control, utilizing big data and advanced
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to Neuroimmunology and Multiple Sclerosis. Our department provides translational science expertise to inform the clinical development of novel personalized therapeutics, and our biomarker teams investigate
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to the spread of false information, political division, and public trust in media. Platform Design, Policies, and Civic Engagement: Investigating how social media platforms’ algorithms, moderation policies, and
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, and the willingness to work with multiple researchers, and technical staff in an interdisciplinary environment; Must be able to exercise judgment and discretion, and to prioritize and manage multiple