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(e.g., Python) and experience with astronomical data processing. Fluency in English (spoken and written). A category B driver’s license (Austrian Führerschein B or an equivalent from another country
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for classification or decoding of neural data - programming skills, especially Python Additional Information Benefits What can you expect from us? 232 vacation hours per year, based on a 38-hour workweek (1.0 FTE
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related field. Demonstrated knowledge of Python or another major programming language for data analysis and familiarity with machine learning approaches for data analysis. Knowledge of Machine Learning
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; prior coding experience (e.g., Python, MATLAB, or similar) is a desirable plus but not strictly required. Experience with mouse surgery is highly desirable. Track record of productivity, independence, and
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interatomic potential development. Proficiency in scientific programming (Python and/or Fortran). English proficiency is also required. Desirable requirements: Experience with machine-learning interatomic
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Python and/or C/C++/Fortran. Strong motivation to work in an interdisciplinary environment at the interface of theoretical chemistry and quantum technologies. High level of self-motivation, commitment, and
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Austrian Academy of Sciences, The Marietta Blau Institute for Particle Physics (MBI) | Austria | 2 months ago
) Software skills for experiment control (LabView, Python), simulation (SIMION, Comsol/CST, Geant4) and data analysis (Python, C++). Desirable Skills: Knowledge of the following topics: Trapped charged
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, or other omics data analysis approaches Programming skills in R, Python, or equivalent Ability to work independently while flexibly contributing actively to an interdisciplinary research team
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/Python (spatial data processing, zonal statistics, raster/vector integration). ○ Experience or interest in conducting qualitative or mixed-methods stakeholder research (e.g., focus group facilitation
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language (C++, Python, Rust, …) One high-quality first-author paper (journal or top-tier conference) You are expected to be somewhat accustomed to teaching, and to demonstrate good potential within research