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plus Familiarity with FE simulation tools such as ANSYS or Abaqus (or willingness to learn) General knowledge of structural analysis and material behaviour, especially failure mechanisms Some experience
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Chemistry, Physics, Chemical Engineering or Material Science. Solid knowledge in Physical Chemistry and Surface Science. Pre-knowledge on programming and Molecular Simulations (MD or MC) are desirable. Only
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or Abaqus (or willingness to learn) General knowledge of structural analysis and material behaviour, especially failure mechanisms Some experience with coding, ideally in Python or MATLAB Funding support This
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) of high-value critical assets. Through this PhD research, algorithms and tools will be further improved and developed, validated and tested. It is expected that combining the domain knowledge and the
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: Experience of data-driven modelling and optimization-based analysis. Knowledge of fluid mechanics. Knowledge of control theory and optimization. Knowledge of partial differential equations. Have a strong
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and administration. Your profile: Completed Master's / Diploma degree in the field of Astrophysics Extensive programming knowledge (Python) Excellent command of written and spoken English (C1 level
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Master in Epidemiology or Public Health with experience in medical statistical analyses, an understanding of Health Economics, knowledge of the strengths and weaknesses of scientific research, excellent
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Leads through to international knowledge and expertise of international partners and networks. The All-Wales Academy for Innovation in Health and Social Care welcomes applications for Postgraduate
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biology, chemistry, psychology and social science, facilitating knowledge discovery. The intuitively uninterpretable high-dimensional data and network data become visually scrutable upon being mapped into 2
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manually and on a case by case basis – a process that is long, tedious, and prone to errors. We can streamline this process, to make it more accessible to users without deep floating-point knowledge. One can