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approaches across a range of model organisms to understand how and why we age. As a PhD candidate at FLI, you’ll be part of an international and interdisciplinary environment where basic science meets
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adults, characterised by severe genomic instability and a lack of targeted therapies. Using cutting-edge methods and unique primary patient-derived cell models, this project will seek to understand
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therapies for such cancers, and test them in cellular and animal models. If you thrive in a collaborative environment and have a keen interest in both imaging and treatment of cancer, this role is perfect
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economic vitality, beyond income and business models, including regional collaboration and innovation, can be stimulated. The four-year PhD will culminate in a thesis comprising three to four international
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objective is to find the best way to embed simple partial differential equations into AI-based models to solve fluid sensing problems in a robust and efficient manner. Your role may include developing new
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consolidated data model and advanced analytics to facilitate strategic decisions with relevant stakeholders. The candidate will be involved in various (inter-)national initiatives and engaged with different
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well as across the full life cycle. Expected Outcomes Development of aircraft energy consumption model(s) Adaptation and application of the model for different fuels and/or propulsion systems, and for different
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experts and stakeholders, presenting and modeling lesson plans via professional development workshops, and recording lesson plan development processes for grant reporting and public communications
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Physical Sciences for Advanced Materials and Technologies (MPHS) Program duration: 4 years No. of scholarships: 5 Coordinator: Prof. Nicola Fusco Contact e-mail: mphs@ssmeridionale.it 8. Modeling and
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models. TensorFlow or PyTorch is desirable. How to apply To apply, please ensure you have digital copies of the below information: • Curriculum vitae; encompassing any research presentations and/or