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Field
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programming skills, particularly in Python, and experience with relevant frameworks and libraries such as PyTorch, PyTorch Geometric, and OpenCV. Practical experience implementing machine learning, computer
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Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig | Leipzig, Sachsen | Germany | 2 months ago
microscopy and ultra-high-field imaging Neuroimaging software (SPM, FreeSurfer, hMRI toolbox) Programming in Python and/or MATLAB Multimodal data integration Complementary elemental analysis (e.g., PIXE, XRF
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of wireless communication systems Experience in penetration testing and cybersecurity analysis Programming skills (e.g., MATLAB, Python, or C/C++) Very good written and spoken German or English Ability to work
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research and scientific publications Teaching experience at BSc and/or MSc level Strong quantitative skills — ecological data analysis and reproducible workflows in R and/or Python Fluency in English Desired
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, Origin, LabView, Python, e.g. - ability to work independently and excellent experimental scientific skills - ability to work in a team and cooperate with others What would be desirable
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measurement setups and assess their performance using digital signal processing techniques Develop MATLAB and/or Python scripts to automate lab instruments and measurement workflows (e.g., VISA/SCPI-based
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-processing, pipeline development, and high-performance computing Proficiency in R or Python, and shell scripting Interest in gene regulation and developmental biology Optional previous experience with
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metrology. Hands-on experience with the design, alignment, calibration, or characterization of optical systems. Ideally, programming skills in Python, LabVIEW, Julia, or a comparable programming language. A
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of 5G Non-Terrestrial Networks (NTN) and/or satellite communications, as well as data acquisition and data analysis Proven programming experience, particularly in Python, combined with a willingness to
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be advantageous: Experience with scientific expeditions Experience in computer-aided analysis of biological sequence datasets (e.g., with R, Python and Bash/Linux environments) Basic understanding