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environment We require: PhD in organic or environmental chemistry, soil biology, ecology, biostatistics, or a related field Strong experience with spectroscopy data, chemometrics, multivariate modelling Ability
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
Engineering stresses the application of science and engineering, mathematical analysis, and computer techniques to biomedical problems. The research and entrepreneurship of the faculty, students, and staff aim
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perturbation modelling. The ideal applicant brings not only strong technical skills, but also interdisciplinary knowledge on the subject. More precisely: PhD degree in computer science, machine learning
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/ Requirements Research FieldEngineering » Electronic engineeringEducation LevelPhD or equivalent Research FieldComputer science » Digital systemsEducation LevelPhD or equivalent Skills/Qualifications PhD in
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of multiple simulators and robotic systems. The modelling work demands the ability to analyse diverse types of biomedical data and to develop computational models that capture organ anatomy and behaviour
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supported by NIH, NF Northeast Foundation, and UMass Chan startup fund. For more details, please visit: https://www.umassmed.edu/qlinglab/ Responsibilities: Design and execute experiments Analyze and
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, Signal processing and Biomedical engineering, and Electric Power Engineering. We work with sustainable and smart solutions to societal challenges, such as energy efficiency and electrification in areas
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results and ensuring their proper archiving. based on the Work Regulations of the University of Agriculture in Kraków, the scope of tasks and duties of an academic teacher https://bip.malopolska.pl/urkrakow
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concerning in view of the decline of Moore’s law. The project is to implement artificial neural networks using optics rather than electronics. Optical neural networks would enable us to enhance both the power
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The applicant must: hold a PhD in a relevant field (e.g. computer science, artificial intelligence, machine learning, computer vision, animal science, biology, veterinary medicine, or a related discipline) have