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candidate should be attracted by and proficient in one or two of these areas: algorithm learning, approximation algorithms, blockchains, complexity theory, deep neural networks, distributed systems, graph
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are looking for an excellent and highly motivated candidate with: A MSc degree in Electrical Engineering, or equivalent. Solid knowledge in Probabilities, Stochastic Optimization, complexity theory and
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components and their ageing mechanisms, models for ageing and remaining life estimations. Solid knowledge in Probabilities, Stochastic Optimization, complexity theory. Excellent relevant modeling skills in
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combined with interest or experience in technological (business) development and interest in complex theory development. Good skills in qualitative and quantitative research methods or the capability