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application! We are looking for a PhD student in Visualization Technology and Methodology with a focus on interactive visualization, visual learning, science communication, and educational science, formally
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“Quantitative predictions of protein – DNA interactions from high-throughput biophysical binding data”. Sequence specific binding and recognition between transcription factors and DNA control gene expression at
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the mobility, ubiquity, security, and interactivity of computers, data, software, and users. The pervasive computing paradigm enables technologies such as sensors, actuators, and computers to take a back seat
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the mobility, ubiquity, security, and interactivity of computers, data, software, and users. The pervasive computing paradigm enables technologies such as sensors, actuators, and computers to take a back seat
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offers opportunities to participate in teaching and student interaction at both undergraduate and master's level. The project focuses on organic micropollutant removal from wastewater in biological
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year project, funded by the DDLS program, we aim to develop AI-based tools in design of affinity ligands, such as the prediction of binding interactions between proteins. Data-driven life science (DDLS
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Materials Science are found in the areas of: Human-Technology Interaction Form and Function Modeling and Simulation Product Development Material Production - and in the interaction between these areas
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that are characterized by advanced autonomy for improving the ability of robots to interact with the surrounding environment and humans during the execution of specific tasks. Project description The vision of RAI is
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research with a focus on interactions between plants and microorganisms in forests and agriculture. Central questions concern the population biology and community structure of microorganisms, their functions
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. The department is BTH’s largest department at BTH with 70 people. At the department, research is conducted in two major areas: computer science and engineering and visual and interactive computer science