7 bayesian-target Postdoctoral positions at Technical University of Denmark in Denmark
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machine learning for transport simulation. A core innovation involves Bayesian metamodeling techniques to construct fast surrogate models of the simulation space, enabling efficient scenario analysis
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. This position targets a fundamental question: how does the manufacturability of whole-cell-based biosolutions influence their real-world performance in the field? Your research will seek to understand
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Department of Neuroscience at the University of Copenhagen (KU), Denmark. The enabling technology is a newly invented MEMS microcoil chip for targeted neural inhibition , which we named Trinity. In the long
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analytical chemistry and with a preference to a strong background in chemistry. Candidates with practical experience in non-target analysis and data analysis workflows, gas chromatography of very volatile
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”. Project description and qualifications The AM2PM project is funded by the European Union and targets the creation and use of smart technologies for designing, planning, and monitoring automated construction
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the surface of nanoparticles based on calcium phosphate (hydroxylapatite) and/or manganese oxides in order to promote their uptake by the leaves and their translocation towards target organelles where
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, the proximity effect, and the fringing effect is familiar with the simulation tools such as Ansys (Maxwell), or COMSOL is target-oriented, structured thinking, eager to learn new things, and ready to think