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Biology, Molecular Biology, a related field or MD in human Medicine Interest in CRISPR-based genetic screens and gene editing Enthusiasm for working with organoid models (or willingness to learn) Some lab
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BSc and MSc programs, which are based on AAU's problem-based learning model. The department leverages its unique research infrastructure and lab facilities to conduct world-leading fundamental and
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Particle Motion. The project includes nanoswitch design, sensor fabrication, sensor testing, and modelling. The longterm goal is to enable multiplexed continuous real-time sensing for applications in
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deep-learning and 3D computer-vision models that detect features while representing a distribution of plausible interpretations. Encode geological relationships in a knowledge graph that stores
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. The research combines robotics, computer vision, artificial intelligence, machine learning, control systems, and medical robotics to solve one of the most challenging problems in modern automation. Project
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. The successful candidate will combine extensive experimental testing with insulation lifetime modelling to study PD inception, degradation and endurance, and to develop approaches for predicting insulation
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memory safety, supply chain security and machine learning Independent teaching Student supervision and academic publications Training and professional development Organisational and administrative duties
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with LP2M teams (immunology, iPSC models) as well as from the project's international clinical and scientific network (Prof. Claus Peter Schmitt, Heidelberg; UCA GenomiX and MICA platforms, Nice
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, physiology and disease development; profile root and leaf microbiomes using amplicon sequencing; analyse integrated microbiome and phenotyping datasets; contribute to machine-learning models predicting
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bioinformatics, statistical genetics, cheminformatics, database development, and the application of machine learning approaches. Project description The PhD project will investigate how genetic variants alter GPCR