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Field
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Your Job: Explore bio-inspired algorithms through simulation—both numerical and circuit-based—and experiment with existing hardware, including CMOS and memristor circuits. Additionally, will need to co-design algorithms and circuits to develop efficient neuromorphic hardware, tailored to target...
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at conferences. The PhD program has a duration of three years and with the PhD degree offered by TUM. Qualifications A Master’s degree in Operations Management, Computer Science, Industrial Engineering, Economics
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sciences, natural sciences, bioengineering, material science, medicine, computer science, physics/biophysics or applied mathematics. Language requirements The language of the programme is English. Therefore
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Max Planck Institute for Human Cognitive and Brain Sciences • | Leipzig, Sachsen | Germany | about 20 hours ago
, translational neuroscience, psychology, medicine, neurobiology, computer science, engineering, mathematics, physics, neuroimaging, biochemistry, or related fields. The Master’s degree should have been awarded by
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developing their teaching. Our Advanced Data and Information Literacy Track (ADILT) complements all study programmes by teaching the fundamentals of computer science and data processing methods, along with
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competences of the faculty and research team members at the ETH Zurich in Switzerland ideally complement the competences in natural sciences and computer science at the Max Planck Institute for Intelligent
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international conferences and related journals Contribution to the teaching and research activities of the group Requirements: Applicants should hold an MSc or Diploma in Computer Science, Computational
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of AI. The ideal candidates will have a background in computer science, statistics, mathematics, or related fields, as well as an interest in social science research methods and theories. The PhD
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21.12.2021, Wissenschaftliches Personal The Department of Computer Science, Technical University of Munich, has a vacancy for a PhD candidate/researcher position in the area of efficient algorithms
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technical field (mechanical engineering, mechatronics, robotics, electrical engineering, computer science, etc.) -Know-How from lectures in robotics (e.g. environment perception, path and behavior planning