3 jobs found in Kentfield, CA

Machine & Metals Technology Instructor Part-time Temporary Pool Salary: See Position Description Closing Date: Job Type: Part-time Temporary Pool Location: Indian Valley Campus (Novato) - In Person, CA Description Study in the field of machine and metals technology is designed as preparation for entrance into metalworking occupations. Graduates may enter the fields dealing with industrial production, prototype construction, special die work, or research and development. Note: College of Marin's faculty pools are open to applications on a continuous basis. Although there may not be any current openings, applications will remain on file until the hiring department has a need to add candidates to their pool OR for up to one year from the date of application, whichever occurs first. If your application becomes inactive after one year, you may re-apply to the pool at that time. Screenings and interviews can be conducted at any point in time as the...

Engineering Instructor Part-time Temporary Pool Salary: See Position Description Closing Date: Job Type: Part-time Temporary Pool Location: Kentfield & Indian Valley (Novato) - In Person, CA Description Note: College of Marin's faculty pools are open to applications on a continuous basis. Although there may not be any current openings, applications will remain on file until the hiring department has a need to add candidates to their pool OR for up to one year from the date of application, whichever occurs first. If your application becomes inactive after one year, you may re-apply to the pool at that time. Screenings and interviews can be conducted at any point in time as the hiring department necessitates. Once a screening has occurred, applicants will be notified of their status. ********************************************************************* See "Essential Functions" section for duties. COMMITMENT TO DIVERSITY College of Marin is...

    We are seeking a postdoctoral fellow in computational spatial biology to work in the laboratory of Professor Sylvia Plevritis in the Department of Biomedical Data Science at Stanford University. This research opportunity will be focused primarily on the development and application of novel computational algorithms to analyze and integrate diverse omics datasets, including single-cell RNA-seq, spatial transcriptomics and multiplexed immunofluorescence in-situ images, in the study of immune-stromal-cancer interactions in metastatic progression. The scholar will aim to understand mechanisms through which the tumor microenvironment impacts tumor invasion and metastatic progression, using high-throughput data derived from cellular subpopulations within tumors. The individual will work closely with experimental biologists to translate computationally-derived results into experimentally testable hypotheses and analyze the resulting data from the experiments.