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Monitoring and Modelling solution for data-driven hOlistic management of urban water quality). At DTU Sustain you will contribute to creating digital solutions that will give urban water managers access to all
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(for automation, data analysis and ML) and C/C++ (for UDF development and high-performance routines). Hands-on experience running large simulation campaigns in an HPC environment (job schedulers, batch
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interpreting large-scale spatial transcriptomic data from multiple clinical trial. You will collaborate with an interdisciplinary teams of scientists and clinicians to develop bioinformatics pipelines and tools
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of computer-aided tools for chemical and biochemical product and process modeling, process synthesis, design, analysis and operation. The tools are applied in the chemical, petrochemical, pharmaceutical
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@au.dk) Applicants must have a relevant PhD degree in biology, biogeochemistry, hydrology, glaciology, oceanography, geoscience or physics. Field experience, data analysis and programming (e.g., python
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be developed and implemented in the GEOS-Chem chemical transport model, coupled to the Community Earth System Model. Standardized large wildfire events will be simulated based on historical data and
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associated with NeAIxt , a Chips JU research project jointly funded by the European Commission and Innovation Fund Denmark (IFD). NeAIxt is a large European collaboration with a consortium of 64 partners
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or soon thereafter, and the position offers a full-time (37 hours) contract, in 10 months. The candidate will conduct cutting-edge research in Human-Computer Interaction, with a focus on novel interactive
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while commercial electrolyzers typically operate at 70-90 °C and increasingly at elevated pressures, research still tends to focus at 25 °C and 1 bar. Because of this a large amount of scientific insight
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the department We seek a candidate with the following qualifications : Required: PhD in wildlife ecology, conservation biology, or a related field Experience with technology-assisted wildlife monitoring (e.g