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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 8 days ago
science, or a related field Strong background in signal processing, data analysis, and statistical modeling Programming skills in Python and experience with reproducible workflows Experience working with
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. To present their work at seminars and at external meetings. To contribute to the Donders scientific community through collaborations, workshops and talks. Where to apply Website https
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ability to evaluate code quality, architecture, and technical debt. Experience developing software using programming languages common in academic research, such as Python (expert-level), R, C/C
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research directions while collaborating with a team composed of domain scientists, experts in climate physics and modeling, and AI, as part of the international project, M2 LInES https://m2lines.github.io
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Appointment Term: 2 years Appointment Start Date: July 1, 2026 Group or Departmental Website: https://ed.stanford.edu/faculty/ksadow (link is external) How to Submit Application Materials: Fill out
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cancer biology, molecular/cellular biology, genomics, or immunology with expertise in gene editing technology and NGS; flow cytometry and cell sorting; and bioinformatic and data integration, R/Python
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Engineering, Electronics, Industrial Computing, or related fields, and demonstrate proven skills in: Embedded systems (MCU programming, tinyML); Programming in C/C++ and/or Python; Integration of sensor systems
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deployment; building research software (e.g., Python packages, database systems) and other open-source tools for computational social science research. Other potentially relevant experiences and skills include
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worthiness of autonomous vehicles cyber risk management, advanced threat intelligence secure-by-design for IoT and policy governance of cybersecurity For more details, please view https://www.ntu.edu.sg/cysren
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, MetaPhlAn, or similar). Proficiency in programming languages for data analysis (e.g., R, Python). Experience with mass spectrometry-based metabolomics approaches, including LC-MS/MS. Experience operating