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ma yinclude teaching responsibilities. The appointment is generally preparatory for a full time academic or research career. The appointment is not part of a clinical training program, unless research
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include teaching responsibilities. The appointment is generally preparatory for a full-time academic or research career. The appointment is not part of a clinical training program, unless research training
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such as the Integrated Toxicology and Environmental Health Program, the Superfund Research Center, and the Center for the Environmental Implications of Nanotechnology. TERM: 1 year, with the possibility
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may include teaching responsibilities. The appointment is generally preparatory for a full-time academic or research career. The appointment is not part of a clinical training program, unless research
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methods like umbrella sampling, force integration, free energy perturbation, or lambda integration to compute the conformational behavior of individual structures and the thermodynamic stability of assembly
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, evolutionary biology, computer science, physics, applied mathematics, or engineering. Our research integrates mathematical modeling, machine learning, and quantitative experiments to understand and control
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, neuroscience, physiology, physics, or computer science · Be a proficient programmer and experience in Python, MATLAB, NEURON, COMSOL, and / or git are assets · Be familiar with neural biophysics and
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are central to the lab’s focus on enabling high-throughput, programmable experimentation in synthetic and regenerative biology. The candidate brings specialized expertise in stem cell biology and bioengineering
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Assessment Models (IAMs) such as GCAM or PAGE. The candidate must have a PhD degree in a related field, be fluent in computer programming, preferably python, and will ideally have experience in working with
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or scholarship, and may include teaching responsibilities. The appointment is generally preparatory for a full time academic or research career. The appointment is not part of a clinical training program, unless