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identified and tested using ecotoxicological assays. Persistence, fate, bioaccumulation and potential effects will be assessed under realistic environmental conditions to confirm that both the resins and their
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to developing methods for iPSC culture, 3D cell models, and stem cell differentiation within the field of complex tissue regeneration. In this PhD project, you will work at the interface of stem cell biology
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modelling to improve our understanding of radionuclide behaviour under relevant environmental conditions. The PhD position is funded through the Norwegian Nuclear Research Centre (NNRC). Link: https
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position We are seeking a motivated doctoral student to work on biomethane system scenario design and assessment. The research studies include modelling and simulation from feedstock supply and thermal
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intelligence, or related areas Experience with large language models, machine learning systems, software testing, program analysis, requirements analysis, or software quality assurance Strong programming skills
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skills are essential. We Offer Interesting area of responsibility Collegial and friendly working atmosphere Flexible working schedule (e.g. possibility for home office, paid lunch break - depending
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into different stages of optimization, both as priors and as feedback after optimization outcomes. Information This PhD project is a part of the CoRDS project – Confident Data-Driven Decision Support (https
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 2 months ago
Employees at Federal Level (EG 13 50% TV EntgO Bund). In addition, there is also the possibility of receiving an allowance if the applicable conditions are met. The position has an (initial) fixed term
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pathways and overall process efficiency. Using a combination of model compounds and real lignin-derived feeds, you will investigate the influence of feed composition and operating conditions and apply
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role in enabling this transition, while also introducing new challenges related to system dynamics, stability, and control. This project focuses on the development of modeling, stability analysis