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Vacancies PhD Position – Project “SYNERGY: Mechanisms of Neuronal Stress and Recovery” Key takeaways About the Project The SYNERGY project aims to unravel the mechanisms of neuronal stress and
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external mechanical stimuli (ultrasound or perfusion flow bioreactor). The doctoral candidate will be enrolled in the PhD program “Chemical, Mechanical and Manufacturing Engineering” (University of Las
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carried out by our project partners, and will be compared with in-vivo models. Embedding The PhD student will be embedded in the Microsystems research section at the Department of Mechanical Engineering
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, or a related field. Have documented experience in some of the following: Computational materials modelling or quantum mechanical simulations (e.g. DFT, MD). Machine learning / deep learning (preferably
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feedback and evolving threats. Is Your profile described below? Are you our future colleague? Apply now! Education PhD in Computer Science with a focus on AI and/or cybersecurity Experience and skills 1-2
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or Mechanical Engineering or Computer Science or Agricultural engineering or related subject. Perfect scientific skills with excellence in real life experimentation, as well as very good communication skills
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explaining your motivation for applying to this PhD Studentship to: Supervisor Review Form . Our supervisors will perform a comprehensive review to long-list candidates. Deadline: 8 January 2026 Stage 2
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graduated at Master’s level in machine learning, statistics, computer science, fluid mechanics, or a related area that is considered relevant for the research topic of the project, or have completed courses
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Vacancies PhD opening: Intra-wave modeling of coastal nourishment morphodynamics Key takeaways This research position is part of the NWO-funded SOURCE program: Sand nOURisment strategies
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area of Mechanics and Materials is interpreted widely, encompassing experimental, theoretical and computational methods. However, it is expected that the PhD will be supervised by a member of Academic