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Process: Interested candidates should submit a cover letter, CV, a brief research proposal, and two to three references’ names and contact information. Applications will be reviewed on a rolling basis until
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Electrical Engineering or any field with relevant skillsets will be considered. Currently, expertise in digital signal processing, nonlinear optics, local probe microscopy (STM), statistical physics and on
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Instructions Please submit the following materials through the ARIeS portal. The application review process will begin on MARCH 16, 2026 and will continue until the position is filled. 1. Cover letter. 2. Resume
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sociology. Strong quantitative skills and experience with large-scale data analysis required. Computer Science/HCI: PhD in Computer Science, Human-Computer Interaction, Information Science, or related
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outstanding opportunities for continued scientific development and for contributing to pioneering research. Specifically, the fellow will apply as well as develop code to process and analyze mycobacterial
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for genome sequencing data to enhance our understanding of disease processes including cancer and brain-related diseases. Areas of interest include: Identification of mosaic mutations in non-tumor cells and
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before the fellowship start date. Applicants with external funding are welcome to apply but must undergo the same review process. Additional Qualifications Special Instructions APPLICATION DEADLINE has
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of research At least one research paper (option to upload up to 3) Contact details of at least two references Candidates may be asked to undergo an assessment as part of the interview process. Special
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countervailing immunoediting processes that seek to control and eradicate these cancers. This project specifically focuses on ovarian cancer, a difficult-to-treat and life-threatening cancer for which early
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the following: Curriculum vitae Statement of research Two representative publications Two letters of recommendation Candidates may be asked to undergo an assessment as part of the interview process. Additional