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: Development and design of numerical simulation software Knowledge of programming languages, e.g., Fortran, C/C++, Julia, or Python Numerical methods for partial differential equations (PDEs) It is desirable
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statistical machine learning models and methods, Bayesian learning, or an area related to those mentioned in Work Assignments is also strongly advantageous. Solid programming skills in Python. Experience with
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Knowledge of sodium- or lithium-ion batteries Experience with electrochemical methods Prior experience with data analysis and programming (e.g. Python or Matlab) Experience working in industrial
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image analysis, deep learning as well as mathematics. You have substantial expertise in programming, especially in Python and Matlab. You are independent, meticulous and work efficiently. Since
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experience with work with human cancer cell lines, stem cells, and/or immunohistochemistry is a plus Programming skills with Python or R is a plus Excellent communication skills A solid experimental or
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Strong programming skills, particularly in Python Familiarity with knowledge graphs Experience with graph neural network Personal Qualities We value candidates who are: Intellectually curious Self
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, transforms, optimization). Programming and simulation experience (for example MATLAB, Python). Strong written and oral communication skills in English. Ability to work independently and in teams. Curious
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Python) and data analysis or machine learning applied to materials science Ability to work in interdisciplinary project or industrial experience About the employment The employment is a temporary position
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Python, and used to working with large datasets and reproducible analysis workflows. Has a demonstrated ability to initiate and drive own research ideas, preferably with experience from writing and
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interest in computer security, a very good knowledge in programming (such as in C, Java or Python) and an in-depth understanding of computer systems (assembly code, compilers). Important personal qualities