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Field
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have a passion for multidisciplinary research and (i) expertise in EEG acquisition, signal processing and data analysis (ii) experience coding, preferably with Python (iii
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 6 hours ago
-dimensional wind vectors. These key meteorological measurements enable our understanding of atmospheric dynamics, chemistry and microphysical processes. MMS measurements are critical for investigating a variety
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the next generation of molecular assays and point of care collection devices. We are seeking a scientist who is self-motivated, well organized, and experienced working with biological samples. The ideal
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research in a highly multidisciplinary team environment. Successful applicants will have experience in surgery biomedical engineering, microfluidics, cell signaling and/or vascular biology. Our regenerative
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Radiation Transport techniques, and signal processing. Certificates/Credentials/Licenses Computer Skills Knowledge and experience of programming skills: (MATLAB, Python/C++) Monte Carlo simulations (ex
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-electronics, Optics and opto-electronics, Signals and image processing, Systems and controls, and Very large scale integration (VLSI). Pay and Benefits Pay Range: $61,008 - $71,008; depending on education
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and mathematical approaches to signal analysis, information theory, computational biology and image processing. The term of appointment is one year with the possibility of renewal pending satisfactory
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Area of research: Scientific / postdoctoral posts Job description: GFZ is Germany's national centre for solid Earth research. We advance the understanding of dynamic processes to address global
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ribosomes act as sensors of cellular stress and to discover the ribosome-mediated quality control and signaling pathways that govern cell fate decisions. The dysregulation of these surveillance mechanisms is
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cell lines. Perform functional validation of CRISPR-generated driver mutants. Investigate signaling pathways associated with cancer driving mutants. Perform xenograft experiments. Generate and analyze