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. The Omega Group is becoming involved in the EIC and has strong detector R&D programs on silicon detectors and in data acquisition. Essential Duties and Responsibilities: Participation in the ATLAS and EIC
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also has strong detector R&D programs on silicon detectors and in trigger/data acquisition. BNL serves as the host laboratory for the U.S. ATLAS Operations Program, the U.S. ATLAS HL-LHC Upgrade Project
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medicine, psychology, or similar. Moreover you have: Experience or interest in radiology and/or medical imaging and affinity with biomedical research. Experience with SPSS, SAS, or R is required. Excellent
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. We expect the candidate's enthusiasm for X-ray based analytical methods and Space sciences! Your tasks R&D in the domain of X-ray analytics, with a focus on X-ray diffraction and scattering (XRD, XRD
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? How does the use of AI change the role of human R&D employees in terms of tasks, skill development, career opportunities and wages? What are the wider, societal consequences of the use of AI in firm
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 6 hours ago
training in thermodynamics and programing (Python/Matlab/R), and analytical techniques (Raman, infrared spectroscopy) are desirable. Experience with cryogens and high pressure vessels are beneficial, but
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by Prof. Dr. P. R. Schreiner (JLU, Institute of Organic Chemistry) and Dr. U. Jakob (PRIF). The group works at the intersection of natural sciences and peace research. It aims to scrutinize current
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Qualifications: A record of peer-reviewed publications. Expertise in the use of 3D imaging programs (e.g., Dragonfly, Avizo, or VG Studio). Competency with statistical software (e.g., R). Position Description We
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, Electrochemistry, or a related discipline. Preferred Qualifications: Hands-on experience in fuel cell and/or electrolyzer R&D, preferably PEM-based or alkaline systems. Strong background in electrocatalysis
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advanced AI frameworks (TensorFlow, PyTorch, Scikit-learn). Experience with bioinformatics tools and databases (e.g., Bioconductor, Galaxy, KEGG, Reactome, STRING). Proficiency in Python, R, and Unix/Linux