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. Experimentally couple a membrane distillation (MD) module with a crystallization system. Generate and process scientific data obtained during research activity. Where to apply Website https
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financial models; develop scenarios and forecasts; perform variance, trend, sensitivity, and cost-benefit analyses; and identify material financial drivers. Strong understanding of operating budgets
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responsibilities and tasks: Conduct research activities within the scope of the E.CoLith project. Collaborate closely with the other researchers in synthetic microbiology, modelling and living-material architecture
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Engineering and Design. Interests include but are not limited to: physics-informed and hybrid physics-ML modeling; digital twins for engineering design and manufacturing, including AI-assisted and generative
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will involve primary mouse and human stem cell sorting, multi-color flow cytometry, mouse disease models, human patient samples, 3D bone marrow organoid models, single-cell RNA-Sequencing, and general
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. Preclinical Evaluation: Conduct rigorous in vitro and in vivo efficacy, bio-distribution, and mechanistic studies using PDAC disease models. Data Integration & Dissemination: Analyze multi-layered experimental
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designing and conducting experiments, developing and integrating photoacoustic and ultrasound systems, validating technologies in animal models, and performing quantitative data analysis and computational
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cell culture techniques, cell-material interaction, microscopy, histology, immunohistochemistry and physicochemical and biological assays. Standardization, analysis and documentation of tissue
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materials and structures. By combining numerical modeling, laboratory experiments, and theoretical analyses, we seek to link microscopic processes with the macroscopic behavior of both engineering and natural
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materials. Experience in relevant laboratory techniques (e.g., cell culture, animal models, molecular biology techniques, etc.). Preferred Qualifications Education: Ph.D. in biological sciences. Work