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for publication in high-impact journals and conferences; Create, maintain, and document high-quality research code for reproducibility; and Collaborate with scientists within the NYU Global Network and in Abu Dhabi
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applications. Radiation detector response measurement and characterization experience. Familiarity with radiation transport simulation codes such as GEANT4 and PHITS. Familiarity with AI-tools used for image
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expertise in bioinformatics, coding languages, and statistical analysis tools. • A deep understanding of biological pathways and systems biology, with a preference for microbiological pathways and communities
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of the new methods. Draft articles describing new AI based methods for publication in peer reviewed journals. Programming: 30% Create a well-documented code to form the basis for future operational models
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the Postdoctoral Appointees research. Collegial conduct towards members of the research group and others as described in the Duke University School of Medicine Honor Code of Professional Conduct and other relevant
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Scientific Machine Learning. The successful candidate will develop and deploy state-of-the-art SciML algorithms in high-performance computational physics codes. We accept applications from all candidates with
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Max Planck Institute for Plasma Physics (Garching), Garching | Garching an der Alz, Bayern | Germany | 3 months ago
Job Code: 25/021 Job Offer from May 28, 2025 The Max Planck Institute for Plasma Physics as an institute of the Max Planck Society for the Advancement of Science (registered association) is the
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of the auditory pathway using multi-electrode arrays. Requirements We are looking for individuals who want to study neural coding in the context of hearing and who meet the following criteria: 1) PhD in
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, coding pipelines for optical imaging/photometric data analysis, and spectral modelling, are strongly encouraged to apply. Successful candidates will be encouraged to develop independent projects in
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. Use of radiation transport codes, especially MCNP, Serpent, OpenMC, or an equivalent code. Experience with uncertainty quantification methods. Experience with computer programming (Python, C