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Field
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thorough investigation of background information pertinent to the research program and an ability to understand the theoretical basis of the work being performed. Under the guidance of the faculty mentor and
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of findings. The research program is focused on understanding the role of extracellular vesicles and steroid hormones during pregnancy in shaping brain development and behavior. The Postdoc is expected
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of synaptic transmission in mammalian brain and human neurons derived from human tissue. In addition, the postdoc will perform molecular, cellular and/or electro-physiological experiments. The Postdoc will
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simulations), computational chemistry, machine learning, enhanced sampling methods, force field development, or related fields are encouraged to apply. Start date is flexible. the postdoc will collaborate with
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The Department of Biological Sciences integrates faculty, postdocs, and graduate students from a range of sub-disciplines ranging from Cell and Molecular Biology to Genomics, Ecology, and Evolutionary Biology. In
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weaknesses. For instance, ion trap based computers have a high degree of controllability and are only weakly susceptible to noise, yet with only tens of qubits they are comparatively small. Superconducting
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, the candidate is also expected to be involved with both basic and applied research projects such as the synthesis of surface initiated homopolymers, block copolymers and dynamic polymers, recyclable high
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Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning
: 277494287 Position: Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning Description: The Atmospheric and Oceanic Sciences Program at Princeton University, in
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Responsible for conducting and supporting related experiments Responsible for performing in vivo studies (design and execution) and subsequent data analyses Responsible for working with other postdocs and
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using R for statistical analysis and in statistical modeling. Sound working knowledge of unix shell, high performance compute clusters and git. Willingness to learn and use a scripting language (e.g