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: • Mathematical derivation, analysis, and comparison of models, methods, and simulation approaches. • Rapid prototyping of new ideas in custom code. • Implementation of new models, methods, and algorithms
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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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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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well as the needed system software needed to extract a maximum of efficiency form the respective architectures. The latter includes work on programming mod-els, operating systems, scheduling, tools, I/O as
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) Schedule of the planned research work agreed with the host institution (signed by the German host professor) Individual letter confirming supervision which responds to the qualification of the applicant as
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computer science with very good results - Interest on topics around the area of distributed systems and data management - Basic knowledge in distributed systems and graph algorithms is desired - Hand-on experience
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• Integrated sensing and communication: fundamental limits and algorithm design (1 PhD, Mari Kobayashi, mari.kobayashi@tum.de) • Optical fiber channel modeling, receiver processing, and coding (1PhD, Gerhard
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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