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with relevant reuse- and replacement-oriented decisions: (i) an interactive geographical map, (ii) a calculation/optimization module, and (iii) a scenario engine. Main activities Your work will consist
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, structure-preserving discretisations, optimal transport, and the numerical analysis of partial differential equations. The second position will focus primarily on the geometric representation of complex data
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generation in PBMAs; contributing to the development and optimization of analytical methods; publishing your results in peer-reviewed scientific journals and presenting them at (inter)national scientific
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innovative formulation strategies for lipid-based drug delivery nanoparticles, with a particular focus on the design and optimization of externally triggerable lipid nanomedicines. Combining molecular modeling
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developments, you will work closely with the other PhD, postdocs, engineers in the lab, and other collaborators from TUM and ETH, to establish a digital twin for construction, and optimize CAML hardware
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: Design and optimization of graphene edge to edge tunning device structures, and electronic signal detection. Design and test of microfluidic structures in combination with the tunneling device. Taking
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Welcome to Maastricht University! How does the developing brain shape the way we learn and feel? And how can that knowledge help us optimize education and child health care? At Maastricht University
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of neural networks, information-theoretic and optimal-transport perspectives on representation and generalisation, probabilistic numerics and Bayesian deep learning, and emerging frameworks for scientific
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biochar application in composting. Your work will include the optimization of biochar production from different biomass types at different pyrolysis conditions to produce biochar with characteristics
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such personalization may improve donor health and optimize blood and plasma collection, it also raises important ethical, legal and societal questions: Which personal data may ethically be used in donor management? How