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stochastic processes, Markov models, dynamical systems, quantum walks, or related mathematical approaches. Experience with computational model fitting, Bayesian inference, simulation, or formal model
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. Proficiency in Python, MATLAB, or R. Strong quantitative and analytic skills. Preferred Qualifications Experience with evidence-accumulation models (DDM, sequential sampling, Bayesian models). Experience with
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translation. The successful candidate will lead innovative projects integrating peptide chemistry, structural immunology, cancer biology, and translational immunotherapy. This position offers the opportunity
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subdisciplines of the life sciences—including cell and molecular biology, genetics, biophysics and physiology, anatomical structure, histology, neuroscience, and imaging—to solve complex health problems from a
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subdisciplines of the life sciences—including cell and molecular biology, genetics, biophysics and physiology, anatomical structure, histology, neuroscience, and imaging—to solve complex health problems from a
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bodies of literature, evaluate competing methodologies and frameworks, and contribute to the construction of a coherent interdisciplinary analysis of insects, human systems, environmental change, and the