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Teams. Proficiency with software such as Python, C++, MATLAB and ROS; and hardware such as industrial robots, and visual inspection cameras. The successful candidate should have demonstrated experience in
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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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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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application of complex algorithms very good programming skills in Python independent, structured way of working and ability to work in a team business fluent in English We offer: the chance to contribute
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developing and applying statistical or machine learning models to real-world data Strong coding skills (e.g. in R, Python, or C++) and familiarity with collaborative software development Can work independently
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-scale simulations (e.g., MD, DFT, ML-FF) Demonstrated proficiency in computational programming (Python, C++, or related programs) Demonstrated experience with writing research publications Proposed Start
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problems Ability to work with statistics software, such as Stata Familiarity with programming languages, such as Python Qualifications: Bachelor’s degree in finance, economics, statistics, computer science
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Are you excited by the challenge of helping turn raw data and bold ideas into real-world AI systems? Do you thrive on fine-tuning models, writing clean Python and solving thorny technical problems
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(RS) Proficiency in the software packages ArcGIS Pro and ENVI Good communication skills Other Qualifying Skills and/or Abilities Knowledge of R, Python and/or SQL, and the use of LLM prompts Before
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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