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Field
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. Nuclear Instrumentation and Advanced Detection Techniques: o Proficiency in detecting ionizing radiation and using Monte Carlo simulation software (MCNP, GEANT4). o Knowledge of multi-element
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ATLAS. The researcher will be part of a dynamic team consisting of researchers, engineers, and students from the Universities of Oslo and Bergen as well as SINTEF, and be part of the much larger ATLAS
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tumors, lung cancer, liver cancer, sarcoma, and pancreatic cancer. The long-term goal of this research is to understand the underlying molecular mechanisms of how oncogenic signaling regulates metabolism
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collaboration, transdisciplinary cooperation with practice and an overall dynamic development characterize its research profile in the fields of education, culture, political science, management and technology as
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behavior of pests, their response to pesticides, including physiological and genetic mechanisms of resistance, innovations in applied pest management research (e.g., molecular, computational modeling
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, Loyalty, Integrity, and Selfless Service. The Department of Biology at Texas A&M University is responsible for research and teaching within the vast disciplines of the biological sciences, from molecular
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analysis. Candidates are also expected to bring their own knowledge and approaches to design and execution of the project. The candidate will work in a dynamic team of scientists and collaborate with group
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at the intersection of environmental planning, urban design, and digital innovation. You will be part of a dynamic team working to shape evidence-based policy and design solutions that improve air quality
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exceptional researchers to join our dynamic team. As a Machine Learning Researcher, you will apply advanced ML techniques to a wide range of forecasting challenges, including time series analysis, natural
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which evaluated molecular tumor board assisted care versus usual care for stage IIb-IV Non-Small Cell Lung Cancer (NSCLC) This position will offer numerous opportunities for the right candidate to hone