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machine learning—for chemical and biological applications. You will design and implement models ranging from molecular to process scales, develop model-predictive control and optimization strategies, run
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. Desired: Experience in tRNA and protein purification, in vitro transcription of RNA, gel electrophoresis, chromatography, mass spectrometry/proteomics, Trypanosoma brucei and mammalian cell culture, and
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| Mechanical and Aerospace Engineering Conducts experimental research and development efforts as a Post Doctoral Scholar in the Energy Innovation Laboratory, Mechanical and Aerospace Engineering. The work
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engineering, with applications in energy systems and other natural and engineered networks. Additional Information: Hiring Salary: $61,800 Application materials should include: - Cover letter outlining your
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the current state of knowledge on specific drugs’ PK and PD properties and on state-of-the-art approaches for study design optimization, dose individualization, and PK/PD modeling and simulation. Frequent
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postdoctoral scholar position. We are looking for a skilled and highly motivated postdoctoral scholar with expertise in biochemistry, cell biology, structural biology, biophysics or related areas to conduct
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machine learning—for chemical and biological applications. You will design and implement models ranging from molecular to process scales, develop model-predictive control and optimization strategies, run
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, biochemistry, peptide synthesis, enzymology, cell biology, and human iPSCs to explore disease mechanisms and the roles of protein kinases and PTMs (e.g., phosphorylation, ubiquitination). The candidate will
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-throughput technologies, validation in cancer-relevant mouse models, and translation platforms—is to understand the fundamental principles driving tumor progression, including both cancer cell-intrinsic
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policies, procedures, rules, and regulations. Performs other job-related assignments as assigned. Qualifications A PhD or MD/PhD, within the last three years with extensive experience cell/molecular biology