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for postdoctoral researcher position to conduct collaborative research aimed at the development of novel data mining algorithm to neuroimaging, genetic, and clinical data for brain disorders such as
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. Qualifications a. Qualifications A PhD in Computer Science or Electrical Engineering with biomedical data analysis emphasis or related fields is required. Previous experience in developing novel data mining
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this interdisciplinary project, we are looking for a strong candidate to contribute to the development of quantum algorithms and applications, focusing on quantum walks and quantum machine learning on graph structures
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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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for postdoctoral researcher position to conduct collaborative research aimed at the development of novel data mining algorithm to neuroimaging, genetic, and clinical data for brain disorders such as
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of computer science and applied mathematics. Areas of research are partly chosen by you based on expert judgment, insights into trends and developments, and partly chosen by the team to follow the strategic directions
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of health, the future of work, and the future of mobility. More than 50 professors from various TUM faculties cooperate within the framework of MSRM. The research focus of RSI is the development of control
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to study effects of (TI)-DBS on ex vivo brain slices and in vivo rodent models. Develop advanced closed-loop neurostimulation algorithms. Engage in a cross-disciplinary team, collaborating with experts
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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