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natural products for further investigation. The candidate will assist in the isolation and purification of natural products and the subsequent structural elucidation using NMR. When beneficial, chemical
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team events, well-structured onboarding with friendly colleagues Extensive free continuing education and training opportunities up to and including university studies Discounts on various offerings
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using experimental data from laboratory setups Validate models through targeted measurements and structured testing procedures Analyse loss mechanisms and system efficiencies under various operating
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. The position is available from 1st December 2025, but starting time is flexible. Focus of the project is the investigation of the link between the dynamics of synaptic structural plasticity and the probability
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evaluation and presentation, preparation of reports and scientific publications Good communication and information behaviour Goal-oriented and structured way of working Initiative / commitment Willingness
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Experimental Nuclear Physics (all genders) Posting ID: 25.64-1270 within the HISPEC/DESPEC collaboration, being one of the largest collaborations of the NUSTAR (Nuclear Structure, Astrophysics and Reactions
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that integrate domain knowledge to support structured chain-of-thought processes Benchmarking and validating models against domain-specific tasks such as retrieval, summarization, metadata extraction, and
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, Group Leader – Thermo-Chemomechanics and Interfaces, Department of Structure and Nano-/Micromechanics of Materials (Prof. Gerhard Dehm) Email: a.kanjilal@mpi-susmat.de
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theoretical and practical experience with machine learning methods, especially for training of machine learning potentials - development and utilization of ab initio electronic-structure methodology - previous
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cell analysis (e. g. flow cytometry, FACS, CyTOF) structured, self-managed and team-oriented working style with strong communication skills ability to work in interdisciplinary teams as well as lead