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Field
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. Previous experience with next-generation sequencing data, deep learning or RNA biology are advantages, but not required. capacity for analytical and creative thinking initiative independence ability
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to work in. Research groups: Computational Neurosciences Computer Graphics and Ecological Informatics Computer Networks Computer Security Databases and Information Systems Data Fusion Data Science
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, such as participant recruitment or data collection, is not required but would be an advantage. All applicants must have strong analytical skills and a proven interest in interdisciplinary and teamwork
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experience, particularly in research or development related to wood materials or construction. In addition, special emphasis is placed on intellectual curiosity, analytical ability, thoroughness, and
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health management (IVHM) system that leads to enhance safety, reliability, maintainability and readiness. Generally, prognostics models can be broadly categorised into experience-based models, data-driven
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Biology, Pharmacy, Toxicology, or a related field. Experience in molecular and cell biology techniques, including mammalian cell culture and molecular cloning. A critical, analytical mindset and a drive for
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of Giessen/Hohenheim, students process their fieldwork data and present it to peers in a doctoral seminar. This is followed by the application of the chosen analytical tools to provide answers
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from conventional materials (e.g., traditional metals), two-dimensional materials, and their combinations. The project will employ a broad spectrum of analytical, semi-analytical, and numerical
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, western blotting, qPCR is an asset. You can work both independently as well as in a multidisciplinary team. You have strong analytical skills and an appropriate problem solving attitude. Since your
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statistical methods for modelling and data treatment engage in teaching, innovation and advisory activities in relation to food technology, food chemistry, and food nutrition in a broad sense. Teaching