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disciplines) Good programming skills (Python, MATLAB) Interest in machine learning (ML) and structural mechanics Motivation to work on interdisciplinary research problems Independent and structured working
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, ASAP, or equivalent) Programming skills in Python, MATLAB, or similar Ability to work independently as well as in interdisciplinary teams Very good command of English (written and spoken) Preferred
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models or glioblastoma research Familiarity with transcriptomic methods (RNA-seq, FISH, spatial transcriptomics) Programming skills for data analysis (Python, R, or MATLAB) Workplace Workplace We offer
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in R and Python (MATLAB experience is a plus) Ability to analyze high-dimensional bioinformatics datasets, including multi-omics data (e.g., transcriptomics, epigenomics, proteomics, spatial or single
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) Familiarity with automation software (e. g. Hamilton Venus), scripting, or workflow scheduling (e.g. HighRes Cellario) and experience with standard programming languages such as Python, C++, Matlab or R
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acquisition systems, including Python for connecting to standard open interfaces; familiarity with Matlab, LabVIEW, or SPS is a plus Experience in electrical engineering, radiofrequency engineering, and PCB
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skills in MATLAB and/or Python Interest in interdisciplinary research at the interface of physics, engineering, and life sciences Independent, creative, and motivated personality with excellent
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. Strong experimental skills in optics, spectroscopy, microscopy, or related areas. Experience in programming and data analysis using Python, MATLAB, or similar tools. Experience in theoretical modelling