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within our portfolio of hypothesis-generating screening studies, a methodological portfolio where we identify signals of interest from real-world register data to guide the conduct of tailored studies. We
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machine learning. The research at DTU Bioinformatics is focused on bioinformatics and computational analyses of large amounts of data generated within biological, biomedical and biotechnological and life
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, to biopharma technologies. The department has a scientific staff of about 210 persons, 130 PhD students and a technical/administrative support staff of about 160 persons, of which a large majority contributes to
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in spoken and written English. Additional desirable qualifications Some experience with 'Big Data' or another complex data organization project will be preferred but not required if advanced coding
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2-yr postdoc on Forecasting Biosphere-Scale Effects of Ecological Novelty Using Species Distribut...
regimes, and geodiversity. Key topics include understanding the large-scale consequences of NE expansion and exploring whether restoration and rewilding efforts can mitigate biodiversity loss and enhance
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development as well as field data collection at multiple test sites in Ethiopia. Job assignments The successful candidate will join a large, collaborative team of researchers with expertise in electromagnetic
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focused on bioinformatics and computational analyses of large amounts of data generated within biological, biomedical and biotechnological and life sciences area. We strive to gain new knowledge and drive
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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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growth. In a large research project funded by a Carlsberg Foundation’s Semper Ardens Advance grant, we will investigate if we can realize a new heavy-rare-earth-free permanent magnet through a
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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