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Field
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Intelligence, Machine Learning and Autonomy Appl Deadline: 2025/06/20 11:59PM (posted 2024/09/29, listed until 2025/07/31) Position Description: Apply Position Description Working field: Neuromorphic Computing
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environment of the aQa (applied quantum algorithms) group, which is a team of faculty, postdoctoral researchers, and students across the Leiden Institute of Physics (LION), the Leiden Institute for Advanced
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. Examples of topics include algorithmic fairness in network analysis, developing network embedding frameworks for real-world network datasets or AI models based on agentic LLMs for simulating real-world
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and empirically oriented, focusing on how political ideas, actors, and conflicts are shaped and mediated through digital platforms. Central themes may include, for example, algorithmic influence
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data mining algorithms that can integrate and combine multi-modal data acquired from a variety of sources (smart watch sensors, spatial maps, building information sources (drawings and digital models
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Bayesian inference, stochastic algorithms and simulation-based inference; causal inference and time-to-event analysis; and statistical machine learning in general. OCBE has numerous collaborations with
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. The project’s overarching goal is the development of digital quantum algorithms for the simulation of non-abelian lattice gauge theories. We are looking for highly motivated individuals, with the desire
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applications posted 2024/12/03, updated 2025/05/20, listed until 2025/07/15) Position Description: Position Description The Technical University of Munich (TUM) welcomes applications for a PhD or Postdoc
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of Artificial Intelligence in Green Algorithms Research line / Scientific-technical services: Development of algorithms that are energy-efficient. Project data Title: UDC-Inditex Chair of Artificial Intelligence
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interface, and all the way to quantum algorithms and applications. The long-term mission of the programme is to develop fault-tolerant quantum computing hardware and quantum algorithms that solve life