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and engineering optical setups Experience with coherent control of quantum systems Competence in electronics design and hardware control Ability to acquire and process large datasets Enthusiasm
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interactions (force balances) in electrolyte solutions, covering many different types of electrolytes (strong, week, large molecular ions, etc.) Analyze systematically the role of relative static permittivity
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sensing and autonomous systems into geospatial analysis? Do you thrive in interdisciplinary environments and enjoy combining data-driven research with hands-on fieldwork — whether on boats, underwater
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of the model will largely be built on existing datasets from large scale wave flumes. These datasets will not involve actual swash zone processes, but rather measurements of coastal profile development from
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to new ideas, share our values of scientific curiosity and creativity, be open and honest and conduct research responsibly, be excited about large challenges and enjoy solving them, have an
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algorithms and circuits to enhance imaging quality and speed Creating efficient data acquisition and processing workflows for large datasets of skin nanotexture images Optimizing hardware-software integration
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] that process information in temporal rather than spatial modes to reduce their footprint. The project involves a collaboration between DTU Electro (Senior Researcher Mikkel Heuck) and Harvard University (Dr
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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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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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metabolic data and correlate NMR readouts with physiological function. Preferred Qualifications: PhD in Bioengineering, Chemistry, Biophysics, or a related field. Extensive hands-on experience with organ-on-a