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(Python or similar) Prior experience in skin biology or inflammatory diseases is an advantage Excellence in both written and spoken English Passion for collaborative and interdisciplinary research Research
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Extensive knowledge of X-ray methods Knowledge of synchrotron science Knowledge of catalysis Experience in energy storage Experience with programming languages (ideally Python) Fluent in written and spoken
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' datasets - genomics transcriptomics, and proteomics Proficiency in R, Python, and other programming languages Expertise in Linux, Git, Docker, and other high-performance computing environments Excellent
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(Python, MATLAB) for processing and analyzing large or multimodal datasets (e.g., neural activity and behavior). Experience working with quantitative behavioral or electrophysiological data collection
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in Environmental Modelling, Land Use modelling or another relevant field, with clear skills highly complementary to those of the JPP4JL research team Proven ability to write code in R or python
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one of the following programming languages: R, Perl, Python, C/C++, JAVA, etc. Experience in cancer research and/or molecular biology will be an advantage. Preference will be given to those with
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Isotopylog Python package Ability to conduct clumped isotope measurements on carbonate minerals and data quality control Scientific curiosity and ability to write scientific papers and proposal Reliability and
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familiarity with associated technologies. Demonstrated programming proficiency in languages such as Java and Python, along with experience in various development environments. Knowledge of participating in
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demonstrated by both academic qualifications and a track record of peer-reviewed publications. Required Skills: Proficiency in programming languages such as C# (Unity), and Python or JavaScript (for statistical
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development knowledge of the state-of-the-art in climate physics and Earth system modeling and data analysis techniques programming skills e.g. in C, BASH, Python, Latex software user knowledge: MS