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Field
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Subject area: Biology Description of the PhD projects We are seeking two PhD students in the field of biogas production, with a focus on the digestion process. The biogas process is currently
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higher education credits (ECTS). Relevant courses include, for example, image processing, computer vision, machine learning, deep learning and neural networks, as well as courses in Python, GPU programming
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analysis to better understand how molecular and cellular processes are coordinated across cells, tissues, and organ systems in human health and disease. You will be responsible for developing and applying
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analysis to better understand how molecular and cellular processes are coordinated across cells, tissues, and organ systems in human health and disease. You will be responsible for developing and applying
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knowledge in another way. Applicants are expected to hold a three-year Bachelor’s degree in Biomedical Laboratory Science and at least one-year Master’s degree corresponding to 60 higher education credits
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clinical or biomedical data analysis. In the selection process, considerable emphasis will be placed on the applicant’s scientific potential, analytical ability, independence, collaborative skills and
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nutrition, such as: analysis of time series data and dynamic processes, where signals and responses evolve over time. statistical modelling, AI, and machine learning on large epidemiological cohorts, diet and
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, control theory, and applied mathematics, spanning diverse application domains such as medicine, energy systems, biomedical systems, neuroscience, and safety and security. The Division of Systems and Control
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be conducted through a series of clinical research studies and is closely linked to highly specialised stroke care and neurointerventional services. The PhD student will analyze and process large
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polymerization processes that are regulated by cellular signals, disease markers, and local microenvironments. The work will involve developing and evaluating material formation in relevant cell models (e.g