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of the interview process. Additional Information: This is an immediate hire full-time term position through February 2027, with strong potential for reappointment based on funding and performance
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. Cross-Disciplinary Fellowships (CDF) are for applicants with a Ph.D. from outside the life sciences (e.g. in physics, chemistry, mathematics, engineering or computer sciences), who have not worked in
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dynamics, using an array of methods including natural language processing and experiments. This is a two-year position (one-year contract renewable based on performance). The primary criterion for acceptance
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transcription machinery, and mRNA processing enzymes and their interactions with RNApII. We welcome applications from recent PhD graduates who are interested in these or related fields, particularly those who may
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dynamics, using an array of methods including natural language processing and experiments. This is a two-year position (one-year contract renewable based on performance). The primary criterion for acceptance
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collection and processing for lab and field based studies of back assisting wearable robots. The Research Fellow should be a collaborative problem solver who is proficient at building a strong rapport with
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-disciplinary team of researchers, including bioinformaticians, pathologists, oncologists, and computer scientists, and conduct original research on computational pathology. Digital pathology images contain rich
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scalable bioinformatics pipelines on cloud-based infrastructure. The Research Fellow will be responsible for the code base supporting the large-scale genomic processing and analysis pipelines at the SMaHT
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design (using computer-aided software). Special Instructions A cover letter and current CV are required as part of the application. SEAS is dedicated to building a diverse and welcoming community, and we
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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