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Responsibilities: Development of stochastic and analytical methods for nonlinear partial differential equations Implementation of relevant numerical experiments using deep learning algorithms Job Requirements: PhD
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protein expression, purification, and characterization using methods such as spectrophotometry, HPLC, and SDS-PAGE. Analyze experimental data, maintain meticulous records, and contribute to manuscript
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. Develop independent research questions, propose new methodologies to improve on existing methods and contribute ideas for collaborative research projects. Assist the PI in mentoring, supervising and
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or Mathematics or Statistics with a strong background in one or more of the following: AI, machine learning, Bayesian statistics, programming languages, logic and algorithms, formal methods, probability and
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published many high impact papers in top scientific journals such as Science, PNAS, Phys. Rev. Lett., etc. Our approach is highly interdisciplinary, using emerging state-of-the-art methods from mathematics
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Monte Carlo simulations using GEANT4 and/or MCNP Investigate the most reliable and robust method of unfolding RE energy spectra from the measured gamma-ray spectra Analyse all related experimental data