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Field
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securing well designed and well executed analyses of food? Are you eager to take on the challenge of improving analytical techniques in this field using state-of-the-art measurement systems such as LC-(HR)MS
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securing well designed and well executed analyses of food and feed? Are you eager to take on the challenge of improving analytical techniques in this field using state-of-the-art measurement systems such as
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in several of the following key topics: Energy System Technologies Digital Twin Platforms and Data Analytics Predictive Models & Explainable AI (XAI) Methods in Time Series Forecasting Data Retrieval
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project (e.g. a PhD or MA thesis) Strong analytical skills (as evidenced in research projects and/or methodological training) Strong writing skills (as evidenced in a short writing sample) Desirable
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respective fields. Through AI-driven insights and data analytics, we provide personalized support, including identifying suitable programs, optimizing application materials, and preparing candidates
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Applications are invited for a position in the rapidly expanding data analytics run by Prof Adam Dubis. The main focus of the team is to develop deep learning tools for prediction of disease progression
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A position exists, for a Research Assistant/Associate in the Department of Engineering, to work on advancing research in customer analytics. The role holder will work with the Cambridge Service
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consolidation methods, and characterization of materials through X-ray, electron, and ion beam methods. Preferred Qualifications: Strong analytical skills are beneficial, including but not limited to scanning
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acids is available in Chemistry BMC The Department of Chemistry – BMC conducts research and education in analytical chemistry, biochemistry and organic chemistry. More than 100 people, including around 45
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to strengthen research objectives and to achieve the goals of the research project. Required Qualifications: PhD degree Operations Management, Data Analytics, Pharmacology, Industrial Engineering, or related