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visualization. Application process: Applications should contain the following documents: Curriculum Vitae A letter (maximum 1 page) explaining the motivation for the position Contact information of 3 references
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applied mathematics and computer science, experimental computing systems, scalable algorithms and systems, artificial intelligence and machine learning, data management, workflow systems, analysis and
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biochemistry and biophysics. See www.microbial-electricity.eu for more information about our research. The aim of the three postdoctoral research projects (2 years – extendable to three years) is to achieve a
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are exploring cognate research areas, including (a) improved visual grounding of natural multi-modal (combining visual, verbal and gestural cues) human queries and instructions, (b) innovations in multi-modal
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. Consequently, visual feedback must be used for adapting the robot behavior to the changing environment. The postdoc should contribute to the deployment of the developed solution in laboratories in both SDU and
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. ⦁ Skilled in R programming for statistical analysis and data visualization is plus ⦁ Ability to work independently and collaboratively in a multidisciplinary environment. ⦁ Excellent written and verbal
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capabilities for advanced nuclear materials systems. In addition, this work includes developing processes that connect mechanical and thermophysical testing data with the microstructures of ceramic and metallic
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to live and work in the Durham area on our Why Join Us? - Information Page The Role and Department The Institute for Medical Humanities is an interdisciplinary space for scholars to collaboratively draw
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for dynamics imaging. The primary goal of this project is to develop single-frame ptychography methods that eliminate the need for scanning, enabling fast imaging and the visualization of dynamic processes in
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quantitative models. Interprets the data and explain the results in research discussion. Implements, applies, and evaluates tools to process, integrate, and visualize high-throughput sequencing datasets Data