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to real-world data (RWD). Create innovative tools and solutions to extract deeper insights from RWD and enhance the centre’s analytical capabilities. Develop, validate, and deploy AI/ML models to support
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. The analytical data is currently preliminary and incomplete. You will work with the unpublished dataset, identify data gaps and to carry out new analytical work needed to fully understand this magmatic system and
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to the processing of personal data for the purposes of the competition https://wppt.pwr.edu.pl/pracownicy/konkursy/wymagane-dokumenty-konkurso… (At the moment of employment) Copy of PhD degree diploma or confirmed
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include designing and executing experiments to interrogate host-microbe interactions, analyzing and interpreting microbiome sequencing and/or metabolomics data, developing novel computational or analytical
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health. The successful candidate will support the integration of chemical exposure measurements with cohort-based exposome data, contribute to the interpretation of analytical chemistry results, and
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operating and interpreting data from analytical and characterization equipment, including: Universal Mechanical Testing Machine Scanning Electron Microscope (SEM) DTG thermal analyzer FT‑IR spectroscopy
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of Immunity – Artificial Intelligence (CoI-AI) Programme, a pioneering initiative that integrates controlled human infection models, advanced immunology, and AI-driven analytics to accelerate vaccine discovery
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of applying a wide variety of scientific principles and theories. Maintains substantial knowledge of state-of-the-art principles and theories. Develops advanced analytical models and systems and provides
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years post receipt of the PhD. Excellent experimental and analytical skills relevant to the project are required. Candidates with a demonstrated history of peer-reviewed publications in a related area
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://drive.google.com/file/d/17SY2HfckkPZp8GVtRelkIxrGhikP92nN/view?usp=sharing Job Requirements REQUIRED: PhD in materials science, physics, electrical engineering, chemical engineering, or a related field by the start