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Field
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phase equilibrium modelling facilitate the prediction of metal budgets of crustal magmatic systems (e.g., Weller et al., 2024 JPet, Soderman et al., 2025 Nat Geosci). Pseudosections, the bespoke phase
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coexisting phases, one can model their distribution during magmatic processes, and crucially the locations within pegmatite mineral systems that are predisposed to form lithium mineralisation. We currently
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Master’s in Robotics, Control Theory, Applied Math, or Mechanical Engineering eager to work on model-based control of soft robots Job description We are looking for a motivated PhD candidate to join the
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language. - While our current digital infrastructure relies on classical networks, quantum networks are slowly becoming a reality. The coordination algorithms that govern their operation are unlike those
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strategies for SNAREopathies". We use technology to produce human neurons and create human neuronal networks in vitro that severe mental disorders, such as the model SNAREopathies are a diverse group of brain
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exploited is critical. The goal is to develop a language-agnostic verification approach, following on promising results related to the Solidity language. While our current digital infrastructure relies
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requirements, resulting in organ- and tissue-specific vasculature, such as their size, vascular wall composition, blood flow rate, mechanical properties and stresses, hemodynamics, and permeability. Efforts
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We’re looking for a motivated PhD student with a Master’s in Robotics, Control Theory, Applied Math, or Mechanical Engineering eager to work on model-based control of soft robots Job description We
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technology and electrochemistry. Research challenges Current strategies for electrochemical carbon capture technologies often rely on bipolar membranes (BPMs) to regenerate carbon capture solvents via a pH
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composition, blood flow rate, mechanical properties and stresses, hemodynamics, and permeability. Efforts to engineer or regenerate vessels, as well as to vascularize tissues and organ(oid)s, should therefore