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Details Title Postdoctoral Fellow in Riemannian Optimization School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Position Description A postdoctoral position is
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Details Title Postdoctoral Fellow in Riemannian Optimization School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Position Description A postdoctoral position is
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in the Fontana lab at Harvard Medical School in Boston Massachusetts. The work of the Fontana lab is focused on developing and applying software for modeling combinatorial systems of molecular
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modular forms, particularly work with Klein forms and congruences satisfied by Fourier coefficients. Knowledge of special functions and q-series. Ability to deduce combinatorial information from
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record of or exceptional promise for research. The fellow will work with Prof. Sam Petti on developing methods for modeling, optimizing, and interpreting biological fitness landscapes. Successful
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perturbation screens with high content molecular and imaging data to understand cellular and multi cellular combinatorial programs in cells and tissues in health and disease. You will join a highly collaborative
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OpenFOAM. Validate the developed code and perform code optimization and parallelization. Mentor graduate and undergraduate students in their research Assist the lab director in grant proposals. Write journal
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expected to execute across all aspects of medicinal chemistry. The candidate will be responsible for designing, synthesizing, and optimizing molecules targeting GPCRs (cannabinoid receptors; allosteric and
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development and optimization. The tumor microenvironment and mechanisms of immune evasion. Development of innovative technologies to enhance anti-tumor immune responses. The role of epigenetic and RNA
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. Research areas include Representation Learning, Machine learning and Optimization on graphs and manifolds, as well as applications of geometric methods in the Sciences. This is a one-year position with