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reviewed to ensure progress and alignment with the project goals. The planned activities include, among others: Deterministic growth of graphene nanoribbons. Structural characterisation of the synthesized
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processes in the spatial-temporal patterns of tree-ring water isotope series”. Forests regulate the water cycle through transpiration, and understanding which water sources trees use is crucial in the context
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analysis, and large-scale testing infrastructures. Studying deterministic and probabilistic tracking mechanisms (e.g., shared identifiers, IP correlation, fingerprinting (see [1]), or behavioral
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/PhD) or related field. - Simulation & data: TRNSYS (or similar), time-series processing; Python (pandas/numpy). - Experience with GIS and/or climate/solar datasets (e.g., METEONORM, PVGIS
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decline in mountain regions? This doctoral dissertation will look for answers, based on a historical introduction and a series of case studies in a comparative analysis crowned by conclusions and
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Innovation (SERI) under contract No. 24.00543. Additional comments Equal opportunities: ICN2 is an equal opportunity employer committed to diversity and inclusion of people with disabilities. ICN2 is following
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international rankings (Financial Times, Business Week, The Economist, Forbes). We offer a dynamic, global community of faculty and doctoral students that is dedicated to helping you on your successful journey
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Programme under Grant Agreement No.101191948. This work is supported by the Swiss State Secretariat for Education, Research and Innovation (SERI) under contract No. 24.00543. Equal opportunities: ICN2 is an
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to adapt to multidisciplinary environments and a focus on professional growth and development. Desirable requirements Good knowledge of quantitative methods (econometric models, time series econometric and
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FieldOtherYears of Research ExperienceNone Additional Information Benefits Advantages of joining our team: Terms of appointment: 4 years Contract: The financial remuneration for the PhD Candidate contract will be