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. This role offers an exciting opportunity to work on developing and validating models for wearable sensors aimed at improving human movement, rehabilitation, and fitness engagement. An important component of
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)genomic research to better understand the role of transcription factors and the epigenome dynamics. The individual is needed to conduct research on questions related to transcription factor DNA-driven 3D
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on characterizing non-coding regulatory elements in humans and understanding how these elements change across different conditions. The project will involve developing new modeling approaches for coupling functional
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analysis of a linked administrative dataset comprised of New Jersey birth and hospital records, Medicaid claims, and housing service records. The postdoc will also implement quasi-experimental and causal
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Internal Number: 260781 Minimum Education and Experience: Candidate must have a Ph.D. degree in an area relevant to climatology, geoscience, climate change, natural hazards, impact analysis, and/or numerical
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at the density-functional and dynamical mean-field-theory levels, metal-insulator and structural phase transitions, quantum critical points, nonlinear and anomalous responses, optical traps, quantum computation
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), transcranial magnetic stimulation (TMS), and human electrophysiology (EEG) data acquisition and analysis using standard and advanced techniques. Keeps records of work performed and maintains a database as
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Qualifications Minimum Education and Experience Candidate must have a Ph.D. degree in an area relevant to climatology, geoscience, climate change, natural hazards, impact analysis, and/or numerical modeling
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Significant experience with methods for extraction and analysis of environmental plastics is required including FTIR (ATR- and FTIR-microscopy), Raman spectroscopy, and/or Pyrolysis GC-MS. Experience conducting
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microbial genetics and cultivation, molecular cloning, protein expression and characterization, DNA and RNA purification and analysis, and protein-nucleic acids interactions. The candidate should be self