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Postdoctoral researcher (f_m_x) - Waves in the Inner-magnetosphere and their Effects on Radiation...
of the adverse effects of the space environment utilizing satellite observations, physics-based numerical models, machine learning, and data assimilation. Our research will help safely design and operate
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A brand-new two-photon microscope is ready to drive discovery—and we’re looking for a highly motivated Postdoctoral Fellow to join our NIH-funded research program at the Medical University of South
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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
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types of IDR sequences. Position Responsibilities: The successful candidate will help shape the direction of the research and will use in vitro biophysical and biochemical studies to characterize
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: The successful candidate will help shape the direction of the research and will use in vitro biophysical and biochemical studies to characterize the emergent properties of condensates formed by IDRs with different
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Open Call for GIST Postdoctoral Researcher at AI-Nano Convergence Initiative for Early Detection of Neurodegenerative Diseases Employer: GIST Location: Gwangju (KR) Salary: KRW 90,000,000 per year + benefits Closing date: rolling basis Goals & Expected Impact “Promoting human health through...
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skills in data analysis, machine learning, as well as in mathematical and computational modelling? You will have the opportunity to investigate innovative solutions using machine learning algorithms and
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significant computational and systems immunology approach with collaborators. You will join an outstanding, collaborative, and supportive group within the Meyer Cancer Center, the Englander Institute
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essential. Experience with MATLAB or Python computer programming for neuroimaging data analysis is essential. Experience in MRI and/or EEG acquisition and analysis is desirable. Experience working on research
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prostate tumor samples. This position requires a strong background in both experimental proteomics and computational data science (R and Python), with an emphasis on LC-MS/MS workflows and long-term cohort