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motivation to independently formulate research projects and carry them through to completion; Mathematical skills and command of standard software packages for implementing of optimization algorithms, and a
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readouts; Collaborate with bioengineers and clinicians to optimize model reproducibility and relevance; Document and report findings in reports and scientific publications; Contribute to the coordination
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programme will proceed in three main phases. In the initial phase, you will develop and optimize physical and numerical models describing the electron optics of the complete probe-forming column, including
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toxicity and X-ray dose optimization in cancer and healthy cells, 2) optimization of intratumoral administration, in vivo pharmacokinetics, biodistribution and toxicity assessment and 3) therapeutic efficacy
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, contributing to advances in energy storage, cultural heritage, and biomaterials. The MI group focuses on harnessing machine learning to accelerate the discovery, characterization, understanding, and optimization
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obtained ScanNanoTreat (SNT) EIC transition grant. Specific tasks are 1) in vitro evaluation of nanohybrid toxicity and X-ray dose optimization in cancer and healthy cells, 2) optimization of intratumoral
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characterisation techniques; You will identify and implement optimal methods for the integration and testing of materials in real-life conditions; You will perform structure-property correlations and unravel
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strategies (e.g. predictive or machine learning approaches) to improve performance and reduce costs. Collaborating with industrial partners on design optimization, life-cycle analysis, and business case
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on design optimization, life-cycle analysis, and business case development. Publishing results in journals and conferences, and engaging with stakeholders through workshops and demonstrations. The position is
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, and optimizing laboratory-scale chemical recycling experiments (e.g. hydrothermal treatment, solvolysis, or related processes) on textile waste streams. Developing and applying advanced analytical