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. Experience in modeling biological processes. Experience in use of process simulation tools such as Matlab, Aquasim, Superpro Designer or similar. Expertise within fermentation technology and/or gas
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tools (e.g., statistics, machine learning, optimisation, simulation) to healthcare delivery, healthcare operations and healthcare management as well as medical decision support. Your role is to build
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. For technical reasons, you must upload a project description. Please simply copy the project description above and upload it as a PDF in the application. Qualifications and specific competences: Applicants
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– all in PDF format: Cover letter expressing the motivation and previous research experience of the applicant (max. one page) Curriculum vitae Copy of the PhD degree certificate and the Master’s degree
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stating your specific interest, motivation, and qualifications for the project in question (max. two pages) A curriculum vitae including information on previous employment A full list of publications Copy
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preferably has strong programming skills and experience with the modeling and simulations of fluid or solid mechanics or ice sheet flow and deformation (for example by use of finite element/volume methods
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informed of their assessment by the university. The application must include the following: A curriculum vitae A full list of publications Copy of PhD diploma Copies of all publications on which
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focused on applying quantitative tools (e.g., statistics, machine learning, optimization, simulation) to healthcare delivery, healthcare operations and healthcare management as well as medical decision
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results with AI models and system simulations to create a digital twin of the PtX process for predictive optimization and scenario analysis. Funding This PhD position is generously funded through the Villum
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the following documents in PDF format: 1. Motivated letter of application (max. one page) 2. CV incl. education, experience, language skills and other skills relevant for the position 3. Certified copy