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_______________________________________________________________ How to apply: To apply, please include your CV and motivation letter. Application Instructions Application, which you can download here https://natur.cuni.cz/en/faculty/official-board/selection
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workflows). Ability to work effectively in English within an international research environment. High learning agility and a structured approach to complex problem-solving. Assets (Desirable, but not
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SyMulDaM project involving the development of predictive models to quantify the integrity and durability of a nuclear power plant containment structure., within the mechanical engineering department
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of Munich. https://www.lmu.de/en/about-lmu/working-at-lmu/additional-services/lmu-gateway/new-international-doctoral-candidates/phase-1-preparing-your-move-to-munich/index.html Structured research and
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research ideas flexible arrangements for work hours to support a good work-life balance and a family-friendly work environment supervision via a dual supervision concept, including a structured PhD project
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competencies and organisational models in the construction sector and built environment in general. Your research will focus on identifying labour-market risks, emerging opportunities and governance challenges
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of both the filament and the substrate, pressure, gas phase precursor composition) with the film chemical structure and the resulting optical properties will be carried out. The DC candidate will be trained
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filled. Shortlisted candidates will be invited to a remote interview in May 2026. About LAPTh (https://www.lapth.cnrs.fr ): LAPTh is a joint research unit (UMR) of CNRS and Université Savoie Mont Blanc
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Table of contents of your written thesis Short description of the structure of the thesis (3-5 pages) Statement with key information (no length requirement – you have to convince the Selection Committee
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-funded DECIPHER-M consortium (9 partners, €9M), we are building multimodal foundation models that integrate imaging, text, and structured clinical data to predict metastasis risk and identify tumor origin