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surface science. The aim of the project is to develop ultra-thin transition metal membranes on porous graphene. The gas transport mechanisms, including energy barriers related to H2 diffusion and resistance
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candidate will work in a collaborative and interdisciplinary research environment and will have opportunities to develop expertise in developmental research methods, educational research, longitudinal designs
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cohort of doctoral researchers and benefit from ReDiLEEP training in response diversity methods, data management, reproducible code, R/Tidyverse, machine learning and AI for ecologists, visualisation
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the development and application of nonlinear dynamical systems methods for complex physical problems known only from data. The objective is to provide efficient, theoretically sound, fast, and directly
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in developmental research methods, educational research, longitudinal designs and advanced statistical analyses. Coordinate and conduct research on the development of metacognitive monitoring and
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working at the intersection of computational methods and health science, for the SNF-funded SATURNA (AI for RNA) project. SATURNA is dedicated to decoding the dynamic choreography of RNA to better
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, or related methods, is also advantageous. Programming and data analysis skills in Python, MATLAB, R, or similar are advantageous. Proficiency in English; German is a plus. Enthusiasm for interdisciplinary
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proton transfer. For the Diffusion Processes Group we are looking for a PhD Student Your tasks You will prepare and characterize clay samples and oriented clay films using different methods (e.g. XRD
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characterization using electron microscopy, nanoindentation, or other methods, and light-based 3D printing is an advantage. Regarding soft skills, the candidate should have strong motivation for research (curiosity
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modern econometric methods, including panel-data, time-series and causal-inference approaches. Potential dissertation projects may explore: how globalization and international policy competition shape