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computational work involves protein structure prediction Publications in high impact factor journals Knowledge and experience in AMR, Artificial Intelligence in health and food systems Good laboratory skills
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: structured environments, such as the synthetic cells; environments with competing interaction partners; and systems with hybrid RNA-DNA duplexes. You should have a degree in a subject related to physical
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novel solutions use parts of these models for planning or control, but they do not take full advantage of the structured, layered information such graphs so far. Therefore, our project aims to tightly
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of employment The employment is in accordance with the Ministerial Order on the Appointment of Academic Staff at Universities (the Appointment Order) and the Ministerial Order on Job Structure for Academic Staff
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: Engineering design & CAE (e.g., structural/thermal/fluids workflows) Chemical and process industries (e.g. optimization, control, surrogate models) Related computational engineering problems where simulation
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, or molecular genetics. Experience with 3D genomics, single-cell genomics, and advanced imaging approaches (confocal and super-resolution microscopy). Expertise in proteomics, protein structure–function
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publications in bioinformatics analysis of large-scale biomedical data, e.g., omics, clinical, structural bioinformatics, other biomedical data, should be outlined in the CV Demonstrated skills and knowledge in
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transformative fabrication approaches that enable novel material performance, improved processing pathways, and deployable structural solutions for aerospace, energy, defense, and industrial applications. Key
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and Experience Strong statistical analysis and data handling skills Understanding of data structures, data modelling and data management Ability to write robust, reproducible code in Python or R
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fieldwork, multi-taxa datasets, or trait-based ecology is considered an advantage. What we offer A full-time doctoral researcher position for three years A structured and supportive PhD training environment