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for the development of more predictive preclinical platforms. This PhD project is part of the ANR JCJC EXOFLEX project, which aims to develop an instrumented microfluidic platform capable of simultaneously controlling
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process intensification, sustainability, and advanced process control, aiming to develop AI-driven frameworks for multi-scale modeling, multi-objective optimization, and predictive control of complex
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, and enjoy the unique value the CSUN community can offer. If this sounds like you, you’ve come to the right place. Learn more: https://www.csun.edu/about-csun . Major Duties Under general supervision
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proteins control gene regulation, protein function, subcellular organization, biomolecular condensation, and intracellular transport. A collaborative and open-science attitude is expected. We expect
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the synthesis of functional inorganic materials. You will be developing modelling methods to explain and predict how molecular additives can be used to control the formation of particular phases and produce
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data) will help validate observations and refine predictive models. Automated monitoring tools (scripts, dashboards, alerts) incorporating machine learning algorithms or statistical methods will be
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regularly in its various training and research activities, as well as the weekly seminars in IDAEA-CSIC. Where to apply Website https://www.idaea.csic.es/job-offer/phd-position-understanding-and-predicting-n
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to deliver accounting and financial reporting, budgeting and forecasting, treasury and debt, internal controls and compliance, purchasing and procurement, accounts payable, payroll, and student accounts
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model derived from tissues obtained from cancer patients and reflecting realistic tumor microanatomy. The organoids will be used for translational testing of nanomedicine activity, help predict patient
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, audience engagement, and sentiment shifts over time. Pattern Recognition & Predictive Analytics: Apply pattern recognition methodologies across multi-touch user journeys, enrollment/conversion funnels, and