60 software-testing-short-course-"Prof" Postdoctoral positions at Technical University of Denmark in Denmark
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the Innovation Fund Denmark. It is led by the Danish SME TEGnology ApS and also involves partners based in Switzerland. The overall goal is to integrate existing, flexible TEGs in façade panels, to test their
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Denmark as well as abroad. Your primary tasks will be to: Develop, test, analyse, simulate and predict the capture performance of new fishing gears. Produce high quality scientific and/or engineering papers
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characterizations of the microstructural evolution during straining and annealing to perform tensile and fatigue tests to link the printing parameters, the microstructural characteristics and the resulting mechanical
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to building a world-class research hub focused on advancing microbial solutions for a sustainable future. DTU Bioengineering is excited to announce a postdoc position, as part of the newly launched global
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cross-selectivity. Support the implementation, testing and evaluation of the sensor prototype under simulated and real conditions. Active dissemination of the results in scientific articles and
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optimising bacterial cell factories for the expression and secretion of caseins Producing caseins by fermentation in sufficient quantity and purity for functional tests Testing the microbially produced
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local electromagnetic stimulation. The Novo Nordisk Foundation generously supports the project. Responsibilities and qualifications To take project ownership and design, fabricate, test and innovate
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involve the following tasks: Supervision of BSc/MSc and PhD students related to the project. Performing catalytic tests on upgrading pyrolysis oil and pyrolysis oil model compounds using an advanced
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talented and motivated Postdoc candidate within the field of Immunoinformatics and prediction of T cell immunogenicity. HLA class II antigen presentation form the cornerstone of T-helper cell immunogenicity
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accurate, robust software tools to be used in process simulators for standard and novel carbon capture processes. We aim to improve the robustness and efficiency of CO2 capture simulation for classical