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estimates within the budget. Qualifications Basic Qualifications: Master’s degree in biological sciences or related degree with 7 years of experience in the field. Additional Qualifications and Skills: PhD
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to graduate or medical school. This role involves research, development, and application of bioinformatics software to genomic datasets. In particular, this individual will analyze trinucleotide repeat
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methods is also desirable, as well as comfort working with quantitative and/or qualitative data. An interest in higher education and the organizational structure of universities is a must. We will consider
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position. We are most interested in applicants who have experience in computational methods development, in human genetics or a different field. Possible areas of research include: 1. Developing methods
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institutional memory for optical design methodologies at the Harvard Quantum Initiative, including robust documentation for all methods and processes. Collaborate with related departments (SEAS, Physics, CCB) as
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of diverse measurement methods for detecting airborne infectious disease threats. A critical aspect of your role will be ensuring robust, sensitive sensor performance with real-world samples, and effectively
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interpersonal and communication skills. While not a must, a strong background in computational methods and/or statistical methods is a plus. Special Instructions Applicants should submit a formal application and
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management and analysis programs. Job-Specific Responsibilities: Perform data management procedures, including data cleaning and harmonization. Conduct statistical analyses using advanced multivariate methods
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Genomics at Harvard Medical School Several positions are available in the Park Lab (https://compbio.hms.harvard.edu/ ). The aim of the laboratory is to develop and apply innovative computational methods
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, graduate, and undergraduate students, and a software and web engineer. Basic Qualifications PhD in Bioinformatics, Systems Biology, Evolutionary Biology, Microbiology, Epidemiology, Biostatistics, Applied