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collaboration with Special Melted Products (https://specialmeltedproducts.com/) using the unique Royce metals processing capabilities in Sheffield (https://sheffield.ac.uk/royce-institute), that range from alloy
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include work on patient material, cell lines and primary cells. The work may also contain handling of animals and studies in animal model systems. Methods used in the studies include biochemical methods, as
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biology, cancer biology, molecular biology, immunology, and bioinformatics are all welcome to apply. Lab techniques include mammalian cell culture, mouse models, standard molecular biology and biochemistry
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post-mortem human brain tissue and map these states in relation to disease pathology in AD tissue. In parallel, immune responses will be modeled in human stem cell–derived systems to identify regulatory
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HBIGS Heidelberg Biosciences International Graduate School | Heidelberg, Baden W rttemberg | Germany | 8 days ago
, stem cell homeostasis, proliferation and differentiation and is frequently dysregulated in human cancer. In this project you will develop and apply advanced CRISPR genome engineering methods
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demonstrated that this transition involves mechanochemical dynamics in gastruloids, in vitro models derived from embryonic stem cells (Hashmi et al., eLife 2022; Gsell & Tlili et al., Nature Physics 2025
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mechanical engineering, energy engineering, or a related field, completed within the last five years. Strong knowledge of combustion processes, CFD modeling, and thermal management. Proficiency in simulation
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data, and engineering models to determine why failures occur in complex machines such as heat pumps and chillers. You also support the STFES (Sustainable Thermo-Fluid Energy Systems, https://www.ugent.be
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of nutrition and health, with the aim of understanding the molecular basis of nutrition-dependent diseases, and of developing new strategies for treatment and prevention (https://www.dife.de/en/). We invite
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operations, energy systems, and greenhouse gas (GHG) management. Strong hands-on skills and willingness to perform fieldwork. Proficiency in data analysis and modelling. Excellent written and verbal