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tumors using high-throughput sequencing technologies. Develop, optimize, and manage bioinformatics pipelines for processing and analyzing large-scale sequencing data (e.g., whole exome sequencing, RNA
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; analyze and interpret data Apply data to the iterative design of optimized chemical probes suitable for cellular and in vivo pharmacological studies Maintain accurate lab records and documentation
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. Research areas include Representation Learning, Machine learning and Optimization on graphs and manifolds, as well as applications of geometric methods in the Sciences. This is a one-year position with
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Apply Now Job Summary In this position, the candidates will learn strategies and techniques for LC-MS analysis, drug optimization and lead drug candidate selection, pharmacokinetics and drug
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stabilizers and targeting motifs for delivery and persistence of activity in the brain-tumor microenvironment. · Formulate and optimize liposomes and polymeric/hybrid nanoparticles for delivery across
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such as system usability, improved patient outcomes, and workflow optimization. Preference will be given to candidates who have completed a clinical informatics fellowship or similar advanced degree
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and analytical thinking for research challenges. Flexibility in adjusting research direction as needed. Knowledge of energy storage systems and electric drives Coding experience. Math and optimization
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synthetic chemistry and reaction optimization. A working knowledge of molecular biology and/or protein generation. For information about the (lab) at Genentech and publications, please go to: https
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optimization. The role offers an excellent opportunity to work alongside interdisciplinary teams and industry partners, and to contribute to real-world impact in the growing field of electric mobility
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of innovative hardware solutions, including harmonic mitigation and thermal optimization. The role offers an excellent opportunity to work alongside interdisciplinary teams and industry partners, and to