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statistical genetics Proven experience with applying standard pipelines for the analysis of large-scale genetic data sets Demonstrated proficiency with R or Python Demonstrated ability to effectively
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performance. Analyze experimental data using advanced statistical and data analysis techniques, and develop custom data analysis tools and algorithms as necessary. Prepare high-quality manuscripts
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providing only general guidance and suggestions. Interpret, synthesize, and analyze data using scientific or statistical techniques. Solve problems, and make decisions which affect the direction
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high-quality papers reporting on methodological and biological advances resulting from this work Who you are: Ph.D. in Computational Biology, Computer Science, Statistics, Biostatistics or related field
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Mathematics, Statistics, Physics, Computer Science, Engineering or related discipline Experience with genome sequencing data (ex. DNA, RNA, ATAC seq) Experience with stochastic dynamical systems and probability
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statistical mechanics fundamentals. Proficiency in at least one commonly used molecular simulation package such as AMBER, LAMMPS, GROMACS, NAMD, Rosetta, MOE, Schrodinger, Docking tools, and structural
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and biochemistry, biology, statistics, AI, and computational science. The successful applicant will work closely with biologists and biochemists to develop biochemical data sets, and to develop AI and
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/271 MINIMUM QUALIFICATIONS Minimum Education/Experience: · Bachelor’s Degree in Education, Public Policy, Statistics, Economics, or related field. · Experience using Stata or other
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of statistical methods suitable for durability and lifetime predictions. Design and execution of operando measurements aimed at determining degradation rates and mechanisms in PEC water splitting devices
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of large survey datasets (e.g., Stata, R, Python). Demonstrated experience with statistical analysis and reasoning. Excellent verbal and written communication and presentation skills. Capable of working