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spectroscopy Should have working knowledge of optics, electronics, 3D experimental design (e.g., CAD) and coding languages (e.g., Python) Should be willing to train users of spectroscopic and experimental
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analytics / atmospheric monitoring of greenhouse gases and interest in automated setups and field work. Knowledge of scientific data analysis (e.g. Python, MATLAB or R). Good verbal and written communication
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Python are essential Excellent teamwork, collaboration and communication skills Proficiency in written and spoken English A stimulating, challenging and multifaceted research environment Good integration
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-impact resource that improves mechanistic drug profiling and informs model selection across cancer research and drug discovery. In line with our and Uni Basel values (https://www.unibas.ch/en/Research
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(spike sorting, calcium imaging, long-term tracking). • Experience with behavioral tracking and multimodal dataset integration. • Proficiency in Python, MATLAB, scientific computing, and pipeline
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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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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