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within a Research Infrastructure? No Offer Description Job description Electrodeposition is a versatile and accessible method for preparing metallic nanostructures and alloys with tunable morphology
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on development of novel computational methods with state-of-the-art machine learning for gaining fundamental insights into healthy and diseased human tissues of the heart, cardiovascular system, and
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these plants. The post-doc is expected to build upon existing in-house tools and, where applicable, enhance them by means of AI (machine learning) and data-driven methods. These models are aimed to support
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, and carrying out magnetic and spin structure refinement. You are also expected to contribute to the development and implementation of neutron-based instrumentation and experimental methods, as
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. This eligibility requirement must be met no later than the time the employment decision is made. The candidate should have a strong background from at least one of the areas of formal verification and system
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overview describing the proposed research activities, objectives, methods, and potential outcomes. Proposal of research activities: Should include research questions, objectives, methodology, and
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addition to the research, the applicant is expected to participate in the supervision of master's and PhD students. Qualifications Requirements A doctoral degree or an equivalent foreign degree. This eligibility requirement
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for running and further developing it. The position provides great opportunities for an ambitious researcher to develop skills within state-of-the-art biophysical methods such as vibrational sum frequency
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methods and AI-based approaches. The work builds on and further develops the Meta Attack Language (MAL) , with a particular focus on developing domain-specific models that reflect the concrete actions
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concepts. Collaborate closely with international project partners, contributing to joint publications and dissemination activities. Participate in supervision of MSc and PhD students connected to the project