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related field. Experience in bulk/single-cell multi-omics data analysis and/or drug screen data processing. Experience in R or Python programming. Strong interest in translational cancer research and
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semiconductors. You should have experience working in a laboratory environment, along with basic programming and data analysis skills (Python, MATLAB, LabVIEW). High motivation, very good English or German skills
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programming, preferably Python and R, is required. Experience with mass spectrometry data, in particular metabolomics, and geometric machine learning is a plus. In addition to above-average interest in
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(command line-based) and scripting languages such as R, Python, Unix/shell Excellent command of written and spoken English Ability to work both independently and in a collaborative, interdisciplinary
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and interest in working with custom-built or modified instruments Solid programming skills (e.g. Python) are desirable Ability to work independently and self-reliantly, while maintaining strong teamwork
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of the (computational) mechanics of solids and the finite element method and/or spectral solvers Practical experience in at least one programming language (preferably Python) and experience with the use of Unix/Linux
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magnetoencephalography (MEG) and behavioral tests Data analysis using Matlab or Python (speech-brain interactions, synchronicity measurements, connectivity measurements between sources) Presentation and publication
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engineering, fluid dynamics, 3D CAD, electrical engineering) Coding skills (Python) Your Benefits Competitive compensation and cenefits: In addition to the collective wage agreement under TV-L (classification
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in the field of energy storage Experience with programming languages (ideally Python) Fluent in written and spoken English Very independent and self-motivated way of working but also excellent teamwork
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software as python packages Reporting findings and methods in conference and journal papers Your profile Masters, Diploma or equivalent degree in IT/computer science/statistics/applied mathematics/data