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you have: Completed university studies (masters degree) and a doctoral degree in computer science, applied mathematics, computational science (physics, math, chemistry,..) and engineering or a related
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Your Profile: Master`s and preferably subsequent PhD degree in Physics, nuclear physics, Elemental Analysis, Nuclear Data or a related discipline A strong background in experimental radiation detection
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Your Job: Characterize the diurnal and seasonal dynamics of light quantity and quality under experimental plant growth facilities that are equipped with organic photovoltaic installations Understand
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Your Job: MRI is a widely utilised, non-invasive medical imaging method rooted in the magnetic characteristics of atomic nuclei. The adaptability of MRI has been demonstrated across diverse
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resources Coaching of bachelor and master students Publishing results in physics journals and presenting them at international conferences All these tasks are in collaboration with the scientists at JSC and
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describing experimental results Correlating material parameters with process conditions of sample preparation Deriving insights for film and device fabrication based on the above described workflow Your
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presentation of the research results and preparation of relevant publications and presentations in the sub-project "Medical and political ethics of brain age prediction" Support with the organisation
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. Work with large language models (LLM) and deep learning algorithms to drive the inverse design of materials and uncover new physical and chemical phenomena. Ensure the integration and effectiveness of AI
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simulations of CG model enzymes and their constructs to optimize the overall catalytic activity. The work will be done in collaboration with Prof. S. Kondrat from the Institute of Physical Chemistry in Warsaw
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"Electrochemical Process and System Technology" with a total of around 30 employees at IEK-9. Your tasks in this exciting and dynamic environment: Strategic further development of the newly formed department by