9 postdoc-image-encryption Postdoctoral positions at Texas A&M AgriLife

  • Texas A&M AgriLife | College Station, Texas | United States | about 2 months ago

    technology, confocal imaging techniques and molecular cloning techniques. Required Special Knowledge, Skills, and Abilities: Excellent oral and written communication skills. Ability to multi-task and work

  • Texas A&M AgriLife | College Station, Texas | United States | 29 days ago

    approaches for ecological and paleontological data. Other requirements or other factors: Position requires collaboration and coordination across multiple institutions. Postdoc must be resident at Georgia Tech

  • Texas A&M AgriLife | College Station, Texas | United States | about 2 months ago

    the mentorship of the postdoc. Graduate students will interact with and learn from the postdoctoral research associate in a open and supportive research environment. (5%)-Performs other duties as assigned. All

  • Texas A&M AgriLife | College Station, Texas | United States | 23 days ago

    . The position will involve designing and analyzing experiments, modeling producer and consumer behavior, and integrating experimental and observational approaches to generate robust evidence. The postdoc will

  • Texas A&M AgriLife | College Station, Texas | United States | about 1 month ago

    Proficiency with molecular techniques (e.g., RNA extraction, qPCR) and/or advanced imaging Strong quantitative/statistical skills. Excellent written and oral communication skills, with a demonstrated record of

  • Texas A&M AgriLife | College Station, Texas | United States | about 1 month ago

    (e.g., FTNIR, NIR, E-Nose, GC-MS, LC-MS, hyperspectral imaging) to characterize fermented and upcycled products. • Work in a cooperative manner with the Supervisor and other co-workers. • Build

  • Texas A&M AgriLife | College Station, Texas | United States | 2 months ago

    at the Texas A&M AgriLife Institute for Advancing Health Through Agriculture (IHA) based on the Texas A&M University campus in College Station, TX. The incumbent postdoc will work with USDA-ARS scientists

  • Texas A&M AgriLife | College Station, Texas | United States | about 2 months ago

    ecological momentary assessment, smartphone-based tracking, or screenshot capture methods. - Experience applying machine learning techniques to a variety of data types such as with time-series data or image

  • Texas A&M AgriLife | Uvalde, Texas | United States | about 5 hours ago

    protected and open field cultivation systems Use lab and field equipment (ICP, HPLC, gas exchange analyzer, soil/root/plant sensors, chlorophyll fluorescence, etc.), data loggers and image processing tools

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