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about the project here https://www.planttip.dk/ In this already ongoing project, we are now moving into the phase of building the model, using available knowledge, data, and theories on consumer
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Postdoc in first-principles modelling and machine-learned force fields for correlated disorder in...
-dynamical methods and statistical sampling to investigate local disorder, phase stability, temperature-dependent behaviour and structure-property relations. Investigate how defects and correlated disorder
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-energy infrastructure and the rapidly expanding infrastructure supporting data centres and AI computing. These cases will be analysed within a common methodological framework to examine how infrastructure
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computing technologies. The postdoctoral researcher will perform operando and time resolved structural characterization of materials and devices during switching, combining methods such as laser pump and X
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(XFEL). Optical phase change materials can be reversibly switched between amorphous and crystalline states on fast timescales and are enabling materials for emerging photonic computing technologies
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statistical methods for approaches such as model-data fusion techniques. The main focus of your position will be to develop and apply a scalable process-based modeling framework to evaluate climate-smart
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binned spectra, such as audio spectrogram encodings or learned embeddings, and developing explainable AI methods that translate model outputs into interpretable visualisations for clinicians and chemists
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by providing support and expertise to researchers. The key areas of the center are High Performance Computing (HPC), Cloud Services, Data Analytics, and Data Management Services. We assist a large
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Postdoctoral Research Fellow - Human-Centered AI for Data Visualization at Computer Science, Aarh...
Discipline Computing Job Type Postdoctoral Employment - Hours Full time Duration Fixed term Qualification PhD Sector Academia Apply on website (This will open in a new window from which you will be
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project aims to advance non-destructive, rapid, and highly sensitive hyperspectral methods for the detection, identification, and characterization of forensic traces, including fire debris, biological