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for collaboration with experimental groups working on physical learning in electronics, mechanics, and living flow networks (Physarum Polycephalum). For more information about our work, see: [1] Stern, Hexner, Rocks
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and chemistry involved in current and future key technologies in nanolithography, primarily for the semiconductor industry. ARCNL is a public-private partnership between the Dutch Research Council (NWO
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assessed by means of a high-fidelity end-to-end simulator. The current design of the NGGM DFAOCS could benefit from the latest advances in control theory and the use of a robust control framework in which
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gross per month at Scale 11 on a fulltime basis (38 hours per week), in accordance with the CAO-NU. The contract is offered for a period of 3 years and we expect postdocs to stay for the period of the
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environment; Are highly motivated to conduct cutting-edge research; Have an excellent command of English. This is what we offer you We offer a temporary employment contract for 38 hours per week for a period of
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funded NWO-AES project “Genetic variance Estimation Now (GEN): Estimating current genetic variance components in populations under selection”. You will work closely together with a PhD candidate and
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skills. good communication skills in oral and written English. This is what we offer you We offer a temporary employment contract for 38 hours per week for a period of 24 months, with a probationary period
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for the integration of renewables and the electrification of energy consumption. Through digitalisation, power networks become Smart Grids that can monitor energy flows and adjust energy supply and demand accordingly
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the plasma edge using edge codes (SOLPS-ITER, EDGE2D, etc) Additional Information Benefits This position is for 1 FTE, will be for a period of 2 years and is graded in pay scale 10. The position will be based
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naturally leads to symmetric failure scenarios, which are reflected in BP models. However, current BP software can neither detect nor exploit these symmetries. As a result, despite BP’s strong modeling