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Field
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Excellent state-of-the-art laboratory infrastructure with access to advanced analytical, imaging, materials, and cell-culture facilities Close supervision and strong support for scientific development
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2 PhD Positions in Computational Modelling of Biological Membranes and Adaptive Functional Materials
How do molecular interactions give rise to biological function? How can materials acquire adaptive behaviour and process information? Although these questions arise in different scientific
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BAM Bundesanstalt für Materialforschung und -prüfung | Berlin, Berlin | Germany | about 2 months ago
the development of numerical methods for modelling wave propagation and structural dynamics (e.g. FEM, semi-analytical methods) Experience in one or more of the following areas is desirable: wave propagation in
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is expected to generate novel analytical methodologies, peer-reviewed publications, conference presentations, and practical tools for forensic laboratories. During the PhD project, you will design and
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possess expertise in a broad range of topics in condensed matter, including magnetism, superconductivity, topological matter, and low-dimensional quantum matter. The candidate will learn and master a
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 1 month ago
analysis, image analysis, statistical, and machine learning methods, choosing the approach that best fits the scientific question. Investigate systematically what information is contained in imaging data
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; experience in producing nanomaterials with biological activity will be an additional asset; • be familiar with, or willing to learn, analytical techniques such as UV-Vis spectroscopy, HPLC and dynamic light
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. Using controlled in vitro exposure experiments combined with high-resolution analytical techniques (HPLC, ICP-MS, Seahorse XF), the PhD student will characterize MN kinetics, dose-response relationships
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PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
methodologies, such as simulation, analytical modelling, and AI‑driven techniques, to develop decision support for efficient planning and coordination of production activities in supply chains and generate
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analytical and organisational skills, with attention to scientific detail. Excellent written and spoken communication skills in English. Experience with clinical research, laboratory techniques, data analysis