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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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algorithms into an existing framework, with a focus on efficiency, as well as creation and execution of relevant simulation pipelines: from real data to mathematical and clinically actionable results
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and marine industry to a more efficient, safe, and eco-friendly future. Some of the current research topics focus on advancement of reinforcement learning algorithm for vortical flow control and sensing.
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and marine industry to a more efficient, safe, and eco-friendly future. Some of the current research topics focus on advancement of reinforcement learning algorithm for vortical flow control and sensing.
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therapy. His work is world-leading, both in terms of a willingness to think outside the box and in terms of impact. More about John Haanen Prof. Haanen is an internist/oncologist, and immunotherapy research
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and improve performance Conducting neural recordings and stimulation in behaving monkeys. Programming in MATLAB or Python for data analyse Adapt and improve the machine-learning algorithm to the new
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for quantum computers and develop methods and software tools dedicated to the design and realization of quantum algorithms/circuits. We see ourselves as an interface between the stakeholders building physical
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in the subject line. An interview will be scheduled after reviewing the applicant's documentation.● Official academic transcript, and full curriculum vitae with a list of scientific publications;● A
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: “Advanced Simulations of Zeolite Catalytic processes, combined with synchrotron coherent X-ray diffraction imaging methods,” scheduled to begin in the second half of 2025. The candidate will be responsible
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10.08.2021, Wissenschaftliches Personal Positions in the Formal Methods for Software Reliability group of TU Munich led by Prof. Jan Kretinsky: - postdoc in the area of quantitative verification