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for simulation experiments and analyzing genomic sequencing data; (2), designing, implementing, and overseeing research projects focused on methods development for understanding genetic variation within and
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– Indiana University (Bloomington, IN). Assist in the conduct of research, including isolating nucleic acid samples for quantification and analysis, PCR, library construction for next-generation sequencing
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complementary experimental approaches, including advanced imaging, dual-species sequencing and custom library preparation, RNA-based therapeutics, and genome editing in both mammalian and bacterial systems
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teaching other lab members our key research protocols. In the lab, this will include: DNA purification, Molecular Cloning, Gel Electrophoresis, DNA Sequencing, Polymerase Chain Reaction, Bacterial
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state-of-the-art methods generative protein design, directed evolution, next gen sequencing, and laboratory automation to develop B12-dependent enzymes or artificial metalloenzymes containing different
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converters (ADC/DAC); RF/mixed-signal integration; power management IC blocks.Teaching contributions: core electronics sequence; Analog IC Design; sensor/measurement laboratory modules; mixed-signal design
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Multiple Tenure-Track Assistant Professor Positions in Microelectronics, Circuits and Systems Design
analog design; sensor interfaces; data converters (ADC/DAC); RF/mixed-signal integration; power management IC blocks.Teaching contributions: core electronics sequence; Analog IC Design; sensor/measurement
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converters (ADC/DAC); RF/mixed-signal integration; power management IC blocks.Teaching contributions: core electronics sequence; Analog IC Design; sensor/measurement laboratory modules; mixed-signal design
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Multiple Tenure-Track Assistant Professor Positions in Microelectronics, Circuits and Systems Design
analog design; sensor interfaces; data converters (ADC/DAC); RF/mixed-signal integration; power management IC blocks.Teaching contributions: core electronics sequence; Analog IC Design; sensor/measurement
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cardiac development, developmental programming, metabolic models, or next-generation sequencing is preferred, and candidates from adjacent fields with a clear interest in learning embryology are encouraged