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demonstrated by peer-reviewed publications in international journals. Having good programming (Python) and Linux skills is a must Knowledge in plant biology or single-cell genomics is a plus You have good
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. Strong programming skills in Python and/or C++. A track record of high-quality research outputs. Excellent communication, problem-solving, and teamwork skills. Flexibility and creativity in approaching
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and language interfaces Full-stack development experience (front-end & back-end integration, database management) Proficiency in Python applications Experience in collaborative HE/industry projects Why
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Extensive knowledge of X-ray methods Knowledge of synchrotron science Knowledge of catalysis a Experience in energy storage Experience with programming languages (ideally Python), SPS controls system Fluent
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Engineering, Computer Science/Engineering, Data Science, or a closely related field *Proficiency in Python or other tools and ML frameworks *Track record of open source contributions or tool development in AI
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dynamics, and materials chemistry. Strong Python programming skills are required, and prior experience with developing open-source software or databases will be considered a plus.Candidates should apply at
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qualifications as specified by the Principal Investigator. PREFERRED QUALIFICATIONS: Familiarity with optical design, image processing, or instrument prototyping. Programming skills in MATLAB, Python, or LabVIEW
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learning libraries and toolkits comfortably Strong software development skills with programing experiences in Python, C++, and/or Fortran Good communication and writing skills in English. Desirable
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., Python, Perl, C++, R) Well-developed collaborative skills We offer: The successful candidates will be hosted in the Department of Microbiome Dynamics of Prof. Gianni Panagiotou of the Leibniz-HKI in
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studies. Develop and apply advanced statistical methods and machine learning techniques using tools such as R and Python. Integrate and run process-based models (e.g., crop models, hydrologic models