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, multiscale modeling, molecular simulation code/software (e.g., LAMMPS, GROMACS), machine learning. Prior experience with applying simulations to biomolecular systems is a plus but not required. Applicants
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are particularly encouraged to apply. Candidates will be expected to devote themselves to research and writing and may teach not more than one course per semester. When teaching, successful candidates will hold the
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project studying the neurocomputational basis of reinforcement learning in rodents. The project, in collaboration with the Berke and Frank labs at UCSF, combines advanced system neuroscience and
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biophysics -experimental and/or computational genomics -computer science, statistics, and/or machine learning with applications relevant to genomics -bioinformatics -population genetics / genomics
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and machine learning with Prof. Jason M. Klusowski (https://klusowski.princeton.edu). The position is for one year with the possibility of reappointment based on satisfactory performance and
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, schizophrenia patients) and levels of analyses (local- and large-scale circuits). This is a unique opportunity to learn about team science approaches. Postdoctoral researchers are given the opportunity
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The Department of Computer Science at Princeton University is seeking applications for postdoctoral or more senior research positions in theoretical computer science and theoretical machine learning
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topics such as robot learning, human-robot interaction, Generative AI, computer vision, closed-loop control, extended reality (XR), and computational design. Job Description We seek to hire outstanding
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. About Us ARG is an interdisciplinary laboratory for advanced research at the intersection of design, computation, and robotics. ARG's research interests include topics such as robot learning, human-robot
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their departments and can acquire a breadth of expertise by working with multiple faculty members. We value building a culturally diverse intellectual community; women and members of underrepresented groups