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Python and common deep learning frameworks (PyTorch) • Excellent communication skills in English (German is a plus) • Independent, structured working style and experience in supervising students Preferred
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band structure and exciton binding energies, as well as their vibrational and transport properties. This role will utilize several state-of-the-art computational modelling techniques, in particular
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ecology component of the pelagic work package. The role focuses on understanding the structure, stability and climate resilience of pelagic and mesopelagic food webs, particularly prey fields associated
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– “The theory and design of the guided metasurfaces based on the topological band structure engineering”. Qualifications Applicants should: (a) have an honours degree or an equivalent qualification; (b
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behaviour, market microstructure, and platform economics to generate testable predictions and policy insights Develop and estimate structural models of trading behaviour to understand deep parameters and
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, including protein structural analysis Job Requirements: PhD in Biological Sciences, Bioinformatics, Computational Biology, or related fields Prior research experience in machine learning or systems biology is
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skills In-depth knowledge relevant to the project domain (including algorithms, systems, data structures, machine learning). Demonstrated capability to conduct innovative research. Ability to design and
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years This role will contribute directly to drug discovery efforts through the design and synthesis of small-molecule inhibitors. The postholder will use structural, biochemical and microbiological data
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design, development and execution of biochemical and biophysical assays to identify and evaluate inhibitors targeting mycobacterial proteins. Working closely with chemists, structural biologists
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-electrochemistry systems, including reactor engineering and catalyst structural characterization. Advanced Mechanistic Study: Identify key reaction intermediates and establish rigorous structure-property