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, and generalized additive models would be a bonus. Skilled in descriptive analysis and applying modern statistical methods in modeling of data. Technical writing and computer programming skills. Strong
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allows us to connect fundamental questions about the particles and forces governing our Universe to energy-related research. The methods of our investigations are also diverse and complementary, and range
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criteria are the quality of the applicant's research on the linkages between finance and macroeconomics broadly. The candidate's work may use empirical or theoretical methods to address important policy
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of de-anonymization, including researching current de-anonymization strategies Investigate synthetic data generation methods and their utility Deploying and benchmarking the above-mentioned methods
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methods approach. Experience in designing and analysing both qualitative and quantitative research studies is essential. Experience engaging in collaborative research with stakeholder groups including
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, in particular to operator norm estimates and functional calculi. A further aim is to understand the relationships between these areas of operator theory. Positioned at the intersection of several
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, and utilize it to develop a separation method. Your tasks will include: Performing computer simulations and matching them to experimental data Very close collaboration with experiments, including
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, 20:1340-7). During the past decade, our lab has generated a comprehensive resource of pancreatic primary tumors and primary cell cultures. Multiple NGS methods and biological readouts have been
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surfaces. -Structural and biophysical characterization: Exhaustive characterization of the coatings by advanced methods (FTIR, UV-Vis, electron microscopies, TGA, NMR/EPR spectroscopy for structural
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challenges, particularly in low- and middle-income countries (LMICs) where surveillance systems are often limited or lacking. Traditional laboratory-based methods, widely used in high-income countries