122 algorithm-development-"Multiple"-"Simons-Foundation"-"Prof" "UNIS" Fellowship positions at Harvard University
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understanding the intricacies of plant chemistry and biology. Research in the Nett lab spans multiple, distinct projects that are all unified by the chemistry of plants, including: 1) evolutionary and biochemical
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fellow to join our studies on the genetic basis of human evolution, with a focus on the evolution of the human brain. Candidates with a strong track record in any biological field are welcome to apply
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computational efforts across multiple labs at Harvard’s Faculty of Arts and Sciences and Medical School. As part of this effort, the Rubin lab is implementing new methods of studying aging in vitro using brain
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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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scientific development and for contributing to pioneering research. Specifically, the fellow will apply as well as develop code to process and analyze mycobacterial molecular and phenotype data. Including code
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genomic data from parasitic and medicinal plants. The Davis Lab of Plant Biodiversity explores questions in plant evolution and ecology using a variety of cutting-edge methods. Current and past research has
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genomic data from parasitic plants. The Davis Lab of Plant Biodiversity explores questions in plant evolution and ecology using a variety of cutting-edge methods. Current and past research has shed light on
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scientific development and for contributing to pioneering research. Specifically, the fellow will apply as well as develop code to process and analyze mycobacterial molecular and phenotype data. Including code
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Institute on City Design (MICD), providing an annual 11-week curriculum, convening and public program for mayors. The GSD-developed curriculum focuses on planning and design solutions through lectures and
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the development and translation of rehabilitation technologies is strongly preferred. Prior experience with embedded systems or biomechanical evaluation in wearable devices is desired. Special Instructions Contact