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experimental and computational tools, and are currently recruiting for the following roles: Position 1: AI and data science approaches applied to genomics and spatial omics Position 2: Experimental islet and
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and climatic change is a large uncertainty for ecosystems, crop productivity and climate predictions. To tackle this uncertainty, we combine: growth chamber experiments, samples from world-unique CO2
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of large biological datasets. The successful candidate will design novel machine learning techniques for cancer data science, incorporating approaches such as Neural Cellular Automata, Neural Ordinary
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theory Competency in processing and analyzing time-resolved data and handling large datasets. Synthesis and characterization of polyoxometalates Electrochemical catalysis and characterization techniques
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researchers to analyze gene expression patterns within intact tissue architectures. By preserving the spatial information of RNA molecules in biological samples, this technology provides insights into gene
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large ecological datasets. Effective communication and collaboration skills for engaging with stakeholders and research teams. Working Conditions Travel opportunities related to the project will be
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partners. The postdoc’s research focuses on identifying surface temperature patterns that enhance Arctic-to-lower-latitude climate connections. The postdoc will: Analyze large-scale temperature and
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Vestjyllands Andel, financed by the Innovation Foundation. In this position, your work will focus on functional screening of DTU’s large fungal strain collection (IBT) to identify novel production hosts using a
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important insights into clinically relevant aspects of cancer development and therapy Perform state-of-the-art in vivo experiments and large-scale drug and genetic screens Learn and apply a wide spectrum of
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular