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Field
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a completed or in-progress Ph.D Good knowledge of quantitative research methods and data in the social sciences, and statistical programs for handling them (e.g., Python, R, and Stata) Experience
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degree (Master) in neuroscience or a related field Solid understanding of statistics and programming (Python or Matlab) Passionate about human neuroanatomy and cognitive neuroscience Excellent written and
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Physics, Time-Resolved Optical Spectroscopy, Photochemistry, Functional Material Dynamics, Laser Physics or Ultrafast Optics Experience in Python, MatLab or C++ is an advantage Good communication skills in
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scientific questions Proficient use of scientific software (e.g., Gatan DigitalMicrograph, Python, Origin, Matlab) Basic knowledge of scientific data analysis and statistical evaluation Good knowledge of MS
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fields (genetics, genomics, bioengineering, applied mathematics) Obtained or will obtain a Master’s degree in the above fields (For biologists) Intermediate programming skills in R or Python and prior
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autonomous systems Fluent English (spoken and written); German proficiency is a strong plus Ability to work independently, willingness to learn and acquire new competence Strong programming skills (Python, C
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data analysis (e.g., Python, R, C++, MATLAB), computational modeling, imaging and sensor data processing, bioinformatics, systems biology, or biophysics. Familiarity with simulation environments
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one of the following areas: scientific programming and data analysis (e.g., Python, R, C++, MATLAB), computational modeling, imaging and sensor data processing, bioinformatics, systems biology, or
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stack Development of Python code to operate quantum systems Detailed experimental characterization of superconducting qubits to quantify performance and identify limiting physical mechanisms Perform
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Proven laboratory experience and programming proficiency (Python or a comparable language) Ability to work independently and self-reliantly, while maintaining strong teamwork and collaboration skills