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observed in Molecular Dynamics simulations to support ongoing research efforts. Data management and computer-based data analysis skills (e.g., Python) are required. Interest and training in soft materials
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metagenomic sequencing data. Strong programming skills (e.g., R and Python). Experience with cloud computing. Excellent organizational and interpersonal skills, and a strong publication record. Desired
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Max Planck Institute for Brain Research, Frankfurt am Main | Frankfurt am Main, Hessen | Germany | 6 days ago
skills for data acquisition and analysis (e.g., Python, MATLAB, LabView) Excellent verbal and written communication skills in English Desirable skills Experience with experimental techniques, such as
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score derivation and validation, and other relevant analyses. Develops R or Python scripts for data analysis, statistical modeling, and machine learning techniques, ensuring reproducibility and efficiency
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electron microscopy, advanced image analysis and programming (e.g., scripting in Digital Micrograph, Matlab/Python). This full-time position is available as early as fall 2025, for a period of one year with
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machine learning models with respect to accuracy and uncertainty quantification. - Developing software to implement the goals stated above (most likely in Python). - Disseminating results
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including proficiency with Python and Matlab. Strong communication and interpersonal skills. Review of applications will begin immediately and continue until the position is filled. To apply, please submit a
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language, with a strong preference for Python. Desirable criteria: Additional experience in machine learning, statistical learning theory or related fields Fluency in relevant models, techniques or methods
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. Experience with high-throughput data analysis, including single-cell RNA sequencing, spatial transcriptomics, or computational immunology using R or Python, is a plus but not required. Excellent organizational
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computing with Python and R; (d) experience in high-performance and cloud computing for data processing; (e) the ability to work independently and collaboratively with an interdisciplinary research team