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questions, we are happy to help. You will work on the greenest and most innovative campus in the Netherlands, in an international and open working environment. Selection process For more information about the
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, by that enabling improved control and optimization. Stall detection will be a natural part. The PhD project is internally financed but will be associated to two large research programmes at NTNU and
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11th October 2026 Languages English English English We are looking for a PhD student in Computational Neuroscience at the Kavli Institute for Systems Neuroscience PhD in Computational Neuroscience
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The International Institute of Molecular Mechanisms and Machines Polish Academy of Sciences | Poland | 18 days ago
1 Sep 2026 Job Information Organisation/Company The International Institute of Molecular Mechanisms and Machines Polish Academy of Sciences Research Field Biological sciences » Biology Researcher
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international activities such as conferences and/or research stays at foreign educational institutions Other career-enhancing work such as teaching and supervision, Norwegian language classes, UNIPED. Some
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; Presenting results at international conferences (oral presentations and posters); Participation in the GeoPlanet Doctoral School (https://www.ing.pan.pl/en/education/geoplanet-doctoral-school ); The place of
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an international research environment Strong academic writing and verbal communication skills in English Hands-on expertise in one or more of the following skills is considered advantageous: atomic layer deposition
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for education (including international schools) and possibilities to enjoy nature, culture and family life and has low crime rates and clean air quality. NTNU - knowledge for a better world The Norwegian
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and measuring corrosion data into a unified knowledge base. On the digital side, the project will employ natural language processing and AI-driven data extraction to automatically harvest corrosion data
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for the position. Preferred selection criteria Experience or strong interest in one or more of the following areas is considered an advantage: Machine learning, deep learning, natural language processing or data