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Field
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guarantee that what one believes to be one’s secrets will remain secret. Namely, a DP algorithm cannot ensure that private attributes cannot be inferred from publicly observable attributes if they have strong
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. The incumbent will have the unique opportunity to work at the intersection of cutting-edge science and real-world application, developing groundbreaking algorithms and systems that mimic natural processes
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: Algorithm Design Instructor: Robert Robere Course Number: COMP 360 Number of T.A. positions available (estimate): 8 Hours of work (per term): 90 Dates of Appointment: Starting: January 05, 2026 Ending: April
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of computer science, data science, computational biology, and cyberinfrastructure to develop and refine research tools, pipelines, and software components. Responsibilities include designing and optimizing algorithms
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learning algorithms constitutes a very promising research direction for energy-efficient and Edge AI applications: the goal here is to make these systems capable of learning per se, not just inference
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of the constraints on sequencing (read length, depth), and informatics (e.g., database composition, algorithm biases). Proposals should address these challenges with strategies to evaluate the metagenomic
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, or algorithms for signal processing and machine learning in the broader domain of Astrophysics and/or Earth Observation. Candidates holding a PhD in Computer Science, Astrophysics, or a closely related field must
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6 Research Professors (DR2). Competitive entry is open for research themes pertaining to Physics M/F
6 Dec 2025 Job Information Organisation/Company CNRS Department CNRS Research Field Computer science Mathematics » Algorithms Researcher Profile Established Researcher (R3) Country France
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cohorts and data generation resources through highly collaborative clinical faculty. Ideal candidates will have expertise in computational modeling, machine learning, or algorithm development, with
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the robot and sensors. You will evaluate the methods for completeness, robustness, and runtime on representative datasets and iteratively improve both the setup and the algorithms. What you contribute Very