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concepts, abstractions, mathematical methods, algorithms, as well as laying the foundations for the performance analysis of quantum networks. The successful candidate enjoys working at the boundary
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candidate with a MSc degree (or equivalent) in neuroscience or a related discipline; or an MSc degree in a quantitative discipline (e.g. physics/biophysics, mathematics, engineering) with strong interest and
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psychology. Experience with mathematical modelling of behaviour is a plus. You possess excellent collaborative and communication skills. You are versatile, flexible and have the ability to work in a team as
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. That is why we invite you to apply. Your application will receive fair consideration. Challenge. Change. Impact! The Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) brings
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environment within the Quantum Delta NL hub Leiden; Selection criteria: Ph.D. degree in Computer Science, Mathematics, or a related field; Good publication record in Quantum Computing, Formal Methods or related
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within the Quantum Delta NL hub Leiden; Selection criteria: Ph.D. degree in Computer Science, Mathematics, or a related field; Good publication record in Quantum Computing, Formal Methods or related field
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Computer Science, Mathematics, or a related field; Good publication record in Quantum Computing, Formal Methods or related field; Able to work independently, in a team, and in a student (co-)supervisory role
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toxicities by utilizing mathematical models of cellular networks involved in resolving molecular stress and models describing the kinetics of compounds of interest. The models will be based on and fitted
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sciences, physics, applied mathematics, engineering, remote sensing or a closely-related field. You must have demonstrated programming skills (preferably Python or Fortran) and experience in at least one of
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successful candidate for this position, you will be directly involved in mathematical modeling and software development, processing and analyzing data, and reviewing scientific literature. You will actively