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also present the following obligatory requirements: Advanced knowledge of 3D modeling and experience in areas relevant to the project. Availability is valued. The proof of enrolment must be made until
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the computational models using benchmarks and experimental results while assessing and improving the performance of algorithms on high-performance computing (HPC) clusters. This is a fantastic opportunity for you to
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mixed-methods approach, including quantitative and qualitative data collection, fidelity assessment, and economic modelling. The Research Fellow will work closely with project partners (i.e. Bolton City
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frameworks. Expertise in modeling geophysical systems. Strong proficiency in machine learning libraries such as PyTorch. Proficiency in writing clean, efficient, and well-documented code. Knowledge
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. CAR NK or CAR T cell engineering and application. Use of conditional knockout mice, tumor models, or MCMV infection systems. CRISPR screening and CRISPR-based gene editing. Epigenetic regulation of gene
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snow in local and regional climate models is poorly constrained, leading to uncertainties in estimating mass loss through sublimation and snow redistribution. The PhD candidate will develop and execute
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(animal models) studies in preparation of potential first-human studies. For this purpose, there will be a tight interaction between the Cancer B-cell group and Prof. Mark Cragg at the Antibody Vaccine
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pharmacology and modeling strategies and building clinical pharmacology and pharmacometrics models to support dose selection at various stages of drug development. The Fellow will support the Clinical
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business model. In its research approach, the UM6P promotes transdisciplinary thinking, an entrepreneurial spirit, and collaboration with external institutions to develop up-to-date science and address real
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quantum sensing technologies (e.g., Rydberg atomic sensors) for wireless communications and sensing. Key Responsibilities: Develop quantum-related theories, models, and algorithms for various communications