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PhD Position in Engineering Materials Project: Development and Characterization of Advanced Sorbents
production of materials – mainly metallic and ceramic – as well as application aspects. PROJECT DESCRIPTION The PhD student will focus on the synthesis, optimization, and characterization of advanced sorbent
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to contribute to the transition towards a circular battery value chain and increased resource security? We are seeking a highly motivated PhD student to join an exciting EU Horizon-funded research project focused
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Do you want to contribute to the transition towards a circular battery value chain and increased resource security? We are seeking a highly motivated PhD student to join an exciting EU Horizon
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, and high-tech companies covering the full energy value chain. Your main focus will be on modeling systems essential for the design and optimization of hydrogen production processes. Accurate
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the knowledge within a short time (e.g., 1 month). Have a degree in computer science, computer engineering, electrical engineering or equivalent. Possessing a Master’s or PhD degree will be advantageous
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engineering, or a related field, with strong skills in mathematical optimization and modelling (ideally in Python) and an interest in sustainable urban mobility. Job requirements PhD in OR and other related
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research projects with strong industry relevance, focusing on product development, process optimization and food characterization. Key Responsibilities Lead bench formulation of mushroom‑based and plant
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The PhD will be conducted at GEPEA (UMR
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practices and international standards.Leverage VIB Data Core services, including high-performance computing pipelines and large-scale GPU resources, to scale ML development and deployment. Your profile PhD
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requiring boundary-layer (i.e., large aspect ratio) meshing capabilities. Additional application methods of interest include adaptive meshing for design/shape optimization as well as solution optimization. In