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synthesis, acetate production) using software such as Aspen Plus. Integrate these units into full process chains and simulate performance under varying operating conditions and CO2 feedstock scenarios (e.g
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mathematical ability Experience with symmetry analysis, group theory, or topological band theory Demonstrated experience in programming and contributions to open-source software Excellent communication skills
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of understanding their regulation by phosphorylation. You will be in charge of writing and testing code, developing, deploying and maintaining software. Your work will benefit from the experimental data generated by
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of understanding their regulation by phosphorylation. You will be in charge of writing and testing code, developing, deploying and maintaining software. Your work will benefit from the experimental data generated by
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synthesis, acetate production) using software such as Aspen Plus. Integrate these units into full process chains and simulate performance under varying operating conditions and CO₂ feedstock scenarios (e.g
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both foundations as well as various applications such as quantum computing and quantum software. Odense is a fast-growing international community with affordable housing and living costs. For more
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. Proficiency in data analysis software (e.g., R, Stata, or Python). Interest in comparative politics and political economy, preferably in European wage regulation and climate policy. Fluency in English is
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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
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Postdoc in Psychiatric Epidemiology: Linking Register and Trial Data to Study Postpartum Depressi...
registers. Familiarity with survey-based data collection and handling of longitudinal data. Skills in quantitative analysis using relevant statistical software (e.g., STATA, R, or SAS). Experience with
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or administrative registers. Familiarity with survey-based data collection and handling of longitudinal data. Skills in quantitative analysis using relevant statistical software (e.g., STATA, R, or SAS). Experience