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working memory contents held within. Second, we will use computational spiking-neuron models to explain the results of the experiments and implement the neural mechanisms responsible. These models will also
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across mechanical, materials and robotics engineering; optimisation, systems and control; and sustainable chemical engineering and biotechnology. Qualifications The ideal PhD candidate for this position is
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three years is to be expected. A PhD training programme is part of the agreement and the successful candidate will be enrolled in the Graduate School of Science and Engineering. The preferred starting
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three years is to be expected. A PhD training programme is part of the agreement and the successful candidate will be enrolled in the Graduate School of Science and Engineering. The preferred starting
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completion of the PhD thesis within the next three years is to be expected. A university PhD training programme is part of the agreement, and the candidate will be enrolled in the Graduate School of Science
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thesis within the contract period is to be expected. A PhD training program is part of the agreement and you will be enrolled in the Graduate School of the Faculty of Science and Engineering. Candidates
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progress in the first year to indicate that a successful completion of the PhD thesis within the contract period is to be expected. A PhD training programme is part of the agreement and the successful
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-for-Good, the municipality of Emmen, NOM, InvestNL, and other academic and regional stakeholders. The PhD position will be embedded within the research programme Global Economics & Management at the Faculty
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communication skills are encouraged to apply. A MSc degree (or equivalent) in Mechanical Engineering, Computational Physics, Materials Science or a related discipline is required, with experience in atomistic
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year to indicate that you will successfully complete your PhD thesis within the next three years. A PhD training programme is part of the agreement. The preferred starting date is 1 September 2025 Please