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collaborative, leading-edge projects within expansive energy consortia. The focus involves expertise in energy modeling, optimization and analyzing diverse energy mixes, primarily emphasizing hydrogen-based
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program aimed at tackling one of the life science industry’s biggest challenges: Closed-Loop Design and Optimization of Biologics. The research program will build on the recent advances in protein design
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adaptive, personalized interventions that dynamically respond to an individual’s behavior and environment. You will conduct independent research focused on developing and optimizing such adaptive and
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abiotic signals to optimize their performance in a complex environment? Are you motivated to do research and contribute to teaching and mentoring in a diverse team of scientists? Then we are looking for you
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and focusing performances, with the aim of getting down to a spot size of less than 50 µm for chemical imaging of biological tissues by mass spectrometry. Different strategies can be followed: 1
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or reconstruct the missing links. The first step is to explore different optimization methods using low rank tensor minimization and tensor decompositions paired with auxiliary information in order to recover
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, the candidate will work on optimizing the fusion process of optical fibers made of dissimilar materials (silica/fluoride glass), or of the same fluoride glass material but with different geometries (passive fiber
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industrial and academic partners. The overall goal of the project is to optimize the design of water eletrolyzers for efficient green energy production. You will be conducting Computational Fluid Dynamic (CFD
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current projects in 7 different species. The candidate will learn analytical techniques, including high-resolution re spirometry, multiplex assays using MesoScale Discovery, cryosectioning and
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industrial and academic partners. The overall goal of the project is to optimize the design of water eletrolyzers for efficient green energy production. You will be conducting Computational Fluid Dynamic (CFD