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                , mathematics, computer science or similar; Solid mathematical and analytical skills, including signal processing, optimization, or information theory; Experience in programming, e.g., in C++, Python or Matlab 
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                aeroelastic code HAWC2. Proficient in Python and the various numerical packages (e.g. NumPy, Pandas, etc). Ability to work both independently and as a part of a team. Excellent communication and writing skills 
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                . Knowledge of olfaction, calcium, or GPCR signalling is preferred. Experience with biological assay developments such as bulk and single-cell reporter assays. Programming skills (e.g., Python, R). As a formal 
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                • Knowledge of statistics and/or data science • Knowledge of Matlab, Python, or a similar programming language • Some research experience (e.g., in the form of a conference contribution, a publication, or a 
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                ). Conduct data analysis and visualization using Python or MATLAB, including PCA, clustering, and spectral unmixing. Develop and maintain spectral libraries and annotate features/defects. Support automation 
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                fields Strong programming skills (e.g., Python) Strong motivation to contribute to cutting-edge research in AI and cybersecurity. Excellent written and verbal communication skills in English. The ability 
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                knowledge of C++, Python, and R. Who we are At the Department of Agroecology, our main goal is to contribute to sustainable solutions to some of the world’s biggest problems within the areas of soil, plants 
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                programming skills (R, Python, or Matlab), particularly regarding bioinformatic tools. In addition, you are expected to have insight into plant biomass composition, chemistry and analytics, some practical 
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                mountain glaciers), with proficiency in MATLAB/Python/Fortran, and related software tools Experience with satellite remote sensing, including both optical and radar techniques You must have expertise in data 
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                will include: Integrating new scientific methods into our Fortran and Python-based tools, and verification and validation of the resultant implementations Supporting large-scale geospatial global and