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data in order to identify the different cooling stages and analyse the influence that different parameters may have on heat treatment D. Detailed numerical modelling of the heat treatment process to be
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | about 2 months ago
formulations; - Availability to start working on the project on January 1st, 2026; - Fluent (writing and speaking) in English; Preferential: - Previous laboratory and research experience related to the project
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Description Objectives: 1) Improve the biomanufacturing efficiency through a combination of advanced computational and experimental techniques (in model organisms such as P. pastoris and C. necator), along with
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Biomarkers and Susceptibility Unit (UBS). To find out more, visit our website: https://www.odap-ico.org/ About the role We are seeking a highly motivated data scientist to join the research team on artificial
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Associate Professor or DTU Tenure Track Assistant Professor in Biomanufacturing and Process Integ...
fermentation processes through experimental characterization, design of production units, and development of predictive process models. Models will integrate sustainability assessments and genomic data and
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, Energy Materials, Semiconductor Materials, Nanomaterials, and Computational Modeling of Materials. Expertise in experimental synthesis and characterisation or advanced computational approaches is highly
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researcher or project researcher to work in the SnowPower-project, which is led at University of Turku by university lecturer Sami Jouttijärvi. The project funding covers the years 2026-2029 (https
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. It is expected that the data obtained will ultimately make it possible to the development of a new application-oriented model. We are looking for a strong postdoctoral fellow who will be able to become
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Learning for Foundation Models’, where the aim is to adapt these models to new tasks without forgetting previous knowledge. The precise focus of the project can be defined in collaboration with
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processes through experimental characterization, design of production units, and development of predictive process models. Models will integrate sustainability assessments and genomic data and explore links