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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) We offer Funding: Full position
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-based methods). Strong computational skills (R/Python), workflow automation, and pipeline maintenance in a reproducible framework. We offer A 2-year fixed-term position, with the possibility of extension
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Biomedical engineering Physics or Applied mathematics You present with expertise in advanced signal and data processing and its applications to cutting-edge imaging. Developing programming skills (Python, C
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computationally and developing scientific software. Experience in Python is highly recommended, additional knowledge of performance-oriented modeling frameworks, either based on Python (e.g., JAX, Pytorch) or other
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or Python). A good standard of written and spoken English as well as a driver’s license are mandatory. Good writing skills and the ability to work in an interdisciplinary environment are expected. We offer
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. Profile You have a very good architectural or advanced technical degree, corresponding to the FHEQ-Level 7 We expect strong programming skills (preferably Python), multiple years of programming experience
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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 Understanding of assay
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engineering, geophysics, computational science, mathematics, physics or a related field The successful candidate has strong analytical skills and programming experience either in Python, or C/C++, or equivalent
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remote sensing is required. Experience in working with multimodal data fusion and high-resolution remotely sensed data is required. Proficiency in programming, particularly in Python, is essential
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. Prior experience with DFT-based electronic structure calculations or other computational quantum-mechanical many-body techniques. Programming skills in either Python, Fortran, or a comparable programming