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, develops and deteriorates with age, and how these processes can be understood, modeled, and ultimately reversed or rebuilt using bioengineering and synthetic biology approaches. The successful candidate will
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ultimately reversed or rebuilt using bioengineering and synthetic biology approaches. The successful candidate will: Investigate mechanisms of T-cell development, aging, and thymic involution using in vitro
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. in bioinformatics, computer science, computational biology, or a related field, obtained within the last 5 years by the time of the appointment start date. Strong experience in deep learning applied
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and contribute to funding applications. QUALIFICATIONS Successful applicants will have: A PhD in biology, genetics, or related field. Strong background in wet lab techniques, with an emphasis on cell
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junior trainees and coordinate with clinicians and research partners (for senior roles). Qualifications and requirements Ph.D. in bioinformatics, computer science, computational biology, or a related field
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within the last 5 years). Strong background in gene therapies, RNA biochemistry and molecular biology and/or imaging. Applicants with experience in (primary) cell culture work and gene therapies will be