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Field
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seeking 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
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to advanced instrumentation and interdisciplinary collaborations A supportive and dynamic scientific environment Participation in symposia and conferences Opportunities for teaching and professional development
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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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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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Position Overview: USC Department of Surgery seeking a highly motivated and skilled Post-Doctoral scholar-Research Associate to join our dynamic team focused on cancer research. The ideal candidate
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bioinformatician with a PhD or equivalent experience to join our dynamic research team at the Life Arc Centre for Rare Mitochondrial Diseases https://www.lifearc.org/project/lifearc-translational-centres-for-rare
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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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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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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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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