90 structures "https:" "https:" "https:" "https:" "https:" "https:" "Imperial College London" research jobs at Cornell University
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. Application Materials Required: Submit the following items online https://academicjobsonline.org/ajo/jobs/30907 to complete your application: Cover letter Curriculum Vitae Graduate Transcripts (Un-Official
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. Employee will have no supervisory responsibility To apply: Please apply via Academic Jobs Online https://academicjobsonline.org/ajo/jobs/30577 Qualified candidates should submit: a short cover letter
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. Applications will be accepted until the positions are filled. **Applications for the position should be submitted at https://academicjobsonline.org/ajo/jobs/30971 .** Employment Assistance: For specific
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position ASAP; immediate applications are encouraged. The target start date is Fall 2025. Interested applicants must submit the following documents via Academic Jobs Online: https://academicjobsonline.org
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: Please apply via Academic Jobs Online (https://academicjobsonline.org/ajo/jobs/29926 ), Qualified candidates should submit a short cover letter, curriculum vitae, contact information for three references
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to the position. Academic Discipline (faculty pay ranges reflects 9-month annual salary) Unique applicable skills. Application Materials Required: Further Info: https://societyhumanities.as.cornell.edu/ Society for
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staff. To apply: Please apply via Academic Jobs Online (https://academicjobsonline.org/ajo/jobs/30026 ). Qualified candidates should submit a short cover letter, curriculum vitae, contact information
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applications received before August 29, 2025 will be given full consideration, but the posting will stay open until the position is filled. Only complete applications will be considered. Please apply at: https
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associate to develop deep learning algorithms: 1) to model 3D protein complex structures and impact of mutations/PTMs on protein structure and interactions; and 2) to dissect functional elements (e.g
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the appointment start date; demonstrate strong expertise in computational biology or data-driven modeling, with experience in one or more of the following areas: machine learning or deep learning, structural