21 linked-data-"https:"-"https:"-"https:"-"UCL"-"UCL"-"UCL" scholarships in Switzerland
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thin films for emerging technologies. By combining state of the art physical vapor deposition, high throughput experimentation and data science, we develop thin films with enhanced performance and
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to study and predict. In this four-year SNF-funded project, you will develop data-driven, multiscale simulation methods that combine computer simulations, machine learning, and surrogate models to explore
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tomorrow. Where to apply Website https://academicpositions.com/ad/eth-zurich/2026/phd-position-computer-simulati… Requirements Research FieldEngineeringYears of Research Experience1 - 4 Research
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skills, and excellent English. Relevant publications are a plus. For further information and detailed task description please see link below Eligibility criteria Applicants must be EU Member State
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of origin. Interested? Applications are open starting August 4, 2025.Here you will find useful information on how to prepare your scholarship application. After applying Selection Applications are submitted
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and will personally be involved in the PhD program of the Department of Ancient Civilizations at the University of Basel. Most welcomed are PhD projects that can be linked to the research fields
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on empirical research on sustainability transitions in the built environment across countries, with a strong emphasis on macro-level data and policy relevance. The successful candidate will have the opportunity
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of measurement systems, signal processing and analysis and the assessment of measurement accuracy, robustness and long-term stability. The resulting data form the basis for model-based approaches to evaluating
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for further information) Scan of your validated UZH Card Letter of invitation or research plan Depending on the type of activity applied for, we require either a letter of invitation or a research plan. Letters
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1-year fellowship in Shoebill Conservation Genetics with support for a further 3-year PhD fellowship
about bioinformatics, including R and shell programing, and analyzing data using population genetics tools and theories. The candidate should have good self-organization, be solution-oriented, and have