104 postdoc-in-thermal-network-of-the-physical-building Fellowship positions at Harvard University
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) Name and contact information for 3 references. Contact Information Professor Rachelle Gaudet Northwest Lab Building 52 Oxford Street Cambridge, MA 02138 Camila Ossa (Administrator) camila_ossa
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sequencing data. The initial appointment period is funded for one year. Basic Qualifications Candidates should have a PhD in computer science, physics, bioinformatics or a related field, and an interest in
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Curriculum Vitae Summary of research experience and interests. Name and contact information for 2-3 references. Contact Information Professor Sharad Ramanathan Northwest Lab Building 52 Oxford Street Cambridge
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wearable technology and working with both healthy and patient populations are highly desired. Additionally, having a PT background and being eligible for physical therapy licensure in the Commonwealth
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to building a diverse and welcoming community. Contact Information For more details on our research and recent publications, see the Geometric Machine Learning Group’s website: https://weber.seas.harvard.edu
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science, mathematics, statistics, physics, etc. Strong programming and mathematical skills required. Knowledge of the Julia programming language is not required. Experience writing highperformance code is strongly
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. Positions are available for recent Chemistry, Physics, Electrical Engineering, Biophysics and Computer Science Ph.D.’s who are interested to work in synthetic artificial biochemistry-free life mimics (life
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be involved in a process-based biosphere modeling study of tropical forests. The goal of the research project is to identify and characterize the underlying drivers of differences in the ways in which
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(for travel after 8 December 2025*) *Decisions announced on this date Our applicant handbooks provide useful information on the process. Please click on Travelling Fellowship Grant applicant handbook
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process. We use a combination of human and mouse in vivo and in vitro studies to carry out chemical screening and transcriptional profiling analyses to evaluate potential therapeutics related to targeting