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dynamics, numerical modeling, and scientific programming is required. The following areas of expertise are considered beneficial: Experience in scientific computations using Python, C, C++. Experience in
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laboratory work. Experience with molecular biology techniques, such as RNA sequencing (from RNA extraction to data analysis) Experience with immunohistochemistry Experience in using R, python or similar
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work. Experience with molecular biology techniques, such as RNA sequencing (from RNA extraction to data analysis) Experience with immunohistochemistry Experience in using R, python or similar programming
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Python) Mathematics Knowledge of these needs to be documented, and GPA (grade point average) and translation rules for the European Standardized Character System must follow the application. Moreover
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microfabrication techniques, such as photolithography and etching. Experience with programming and/or data processing in Python. Knowledge about solid state physics. Knowledge about magnetic materials. Personal
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and/or data processing in Python. Knowledge about solid state physics. Knowledge about magnetic materials. Personal characteristics To complete a doctoral degree (PhD), it is important that you are able
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Python) Mathematics Knowledge of these needs to be documented, and GPA (grade point average) and translation rules for the European Standardized Character System must follow the application. Moreover
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research is a requirement. Demonstrated competencies and skills within programming and statistical analyses (e.g., in Python, R, or STATA) are a requirement. A Background/knowledge in media technology is a
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imperative, both orally and written. Documented experience with scientific programming (e.g. Python, Matlab, R; any history of activity on GitHub) as well as computational or statistical methods for data
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the starting date of the position. Demonstrated competencies and skills within programming and statistical analyses (e.g., in Python, R, etc) are a requirement. A background in media technology & AI is a