80 computer-vision-and-machine-learning Postdoctoral positions at University of Washington in United States
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the Required Qualifications section. Work Experience: No additional work experience beyond what is stated in the Required Qualifications section. Skills: Collaboration, Computational Biology, Data Analysis, Data
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of GI diseases to continue our work in functionally characterizing the impact of immune cells including ILCs in IBD. Our research program provides a highly collaborative and supportive training
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disease with a focus on Alzheimer’s Disease. Computational models will be developed that utilize data obtained from a wide range of experiments, from basic biochemical methods to advanced imaging techniques
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for enhanced GVHD suppression and/or cancer targeting (i.e., CAR-iNKT). Presents data at conferences and writes research papers. Writes and submits grant proposals. Facilitates collaborative projects in which
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writing grant proposals. A notable feature of APL postdoc positions is the ability to submit grant proposals as PIs under supervision, with the goal of establishing an independent research program and
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, Bioinformatics, Molecular Biology, Developmental Biology, Computational Biology, etc.). Exceptional skills in molecular biology, genomics, human cell culture, and bioinformatics. Preferred Qualifications Education
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for tissue preparation and multiplexed imaging workflows. Assist in developing novel analytical pipelines or work with computational scientists to interpret complex spatial and single-cell datasets
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dentistry including faculty members with specialty training in periodontics, orthodontics, and oral medicine. OHS also sponsors the School of Dentistry’s only PhD program as well as the combined DDS-PhD
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the Required Qualifications section. Skills: Collaboration, Computational Biology, Data Analysis, Data Interpretations, Experimentation, Laboratory Operations, Laboratory Techniques, Researching, Results
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or interests in programming languages such as R or Python. Independence to lead a project as well as willingness to work in a team. An open mind to learn new methods from other researchers and collaborators