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and intermediate level, with a focus on programming control, perception, planning, and algorithmic functions for robots. Topics will include data representation, memory concepts, debugging, recursion
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with graduate students, postdocs, and senior researchers. They will be well integrated into the lab's research and be expected to understand the methods and algorithms in use by or being developed by
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a motivated individual to support research and development tasks relating to algorithm development and data analytics requiring a background in the geosciences and data sciences. This includes tasks
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of non-interventional research programs for the SCCC Myeloma Institute, ensuring adherence to institutional, state, and federal guidelines. Devises new algorithms and pipelines to enhance research
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mix of algorithm engineering and formal methods, alongside more traditional software engineering activities. This project involves developing software which is both mathematically rigorous, and
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openness to interdisciplinary collaborations Expertise in some area of computer science such as computational complexity, algorithms, data structures, logic in computer science and AI, semantics, theory
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Location: Odense, 5230, Denmark [map ] Subject Areas: Pure math, with relations to quantum theory or with emphasis on Quantum algorithms, Quantum software and Quantum computing. Appl Deadline: 2025/12/01 11
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language learning, graph neural network Have a good fundamental knowledge of neural networks, state-of-the-art learning algorithms, and their applications to complex systems Proficiency in using Python and machine
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involves analyzing data obtained by cosmological surveys such as DESI, Euclid, Roman and others, developing new methods and algorithms, supporting other group members in particular graduate students, and
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developing a machine learning (ML) algorithm for the automated analysis of the above-mentioned mass spectra. Desirable: - knowledge in the field of Planetary Sciences - very good written and spoken English (C1