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network engineering and angiogenesis 3). Applications of machine learning in cell and tissue engineering Candidates should have demonstrated publication records in cardiac and vascular engineering or
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Experience gathering and/or analyzing data Ability to communicate effectively in both written and oral formats Ability to work in a positive and productive manner with a variety of diverse staff Ability
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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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approaches in our lab and broader community across Harvard and collaborative interactions elsewhere. Candidates should have a strong background in cell biology, physiology, biochemistry, structure, and/or
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and sustainable 21st century communities. Our transdisciplinary work joins quantitative and qualitative approaches to better understand and imagine the future of our built world. We develop and employ
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one year, from July 2025 until June 2026. The fellow will be an active participant in the Harvard research community and will have opportunities to develop their own research agenda. The fellowship may
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. Regularly communicate findings with colleagues and lab members. 4. Collaborate with faculty, researchers, and students on interdisciplinary research projects. 5. Contribute to the preparation of research
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the lab? What are your greatest strengths and areas you would like to improve on? SEAS is dedicated to building a diverse and welcoming community. Contact Information Rebekah Keely - rkeely@g.harvard.edu
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study participants and key stakeholders. The candidate should be extremely organized, exhibit excellent communication skills, and enjoy working with diverse groups of people. A strong candidate can tackle