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the interface of plasma physics, quantum electrodynamics, and computational modeling. Your qualifications PhD degree in physics Knowledge of laser-plasma physics Theory and modelling of ultra-intense laser-matter
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, national origin and veteran or disability status. Minimum Qualifications Applicants must have obtained a doctoral degree (MD, PharmD, or PhD) in one of the following disciplines: Pharmaceutical Sciences
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candidate would be a PhD in geophysical sciences, computer science, or machine learning with experience in developing and verifying deep learning-based models for large dynamical systems (e.g. weather
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correction, or many-body quantum systems. o Proficiency in numerical simulations (e.g., tensor networks, quantum circuit modeling). · For Experimentalists: o PhD in atomic/molecular/optical (AMO) physics
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workflow — from experimental design and data acquisition to sophisticated data analysis, including nuclear reaction modeling. The researcher will contribute to the preparation of manuscripts for peer
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research workflows, and, where possible, public tools or model artifacts. Basic Qualifications PhD (completed or near completion) in one of the following or a closely related field: Computer
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. - Conduct high-throughput serum proteomic analyses and integrate molecular datasets. - Validate candidate biomarkers in independent cohorts. WP3.2 – Integrated predictive modeling: - Develop integrative multi
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that are researched by PhDs and Postdocs to develop HI. It is our aim to be able to use the developed metrics and methods to evaluate how well these projects provide solutions for HI as well as establish synergies
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working in the development of gene therapy strategies for neurological paediatric rare diseases using AAV vectors, animal models and iPSC-derived neurons from patients, with the aim to arrive to clinical
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implement machine learning models dedicated to the prediction, interpretation, and quantitative analysis of Raman vibrational spectra, establishing explicit links between structure, local chemical environment