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Field
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processing, • programming experience, preferably in Python, • practical experience with the design and testing of simple electronic circuits, • active command of English (ability to communicate fluently in
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Analysis Research Infrastructure (RI), you will implement robust and well tested software (mostly R & Python) and contribute to open-source projects with respective methodologies (pull requests, code
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, Optics, Laser-science or related LabVIEW, Matlab, Python, C++ or related essentials Background in molecular physics, biophysics or chemistry We offer: Possibility to work in a state-of-the art lab where
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some programming experience (e.g., in Python, Java, or another language), are familiar with working with data and web technologies, know the basics of version control systems (e.g., Git), can work
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excitations in nanoscale structures (e.g. methods of computational chemistry) or related techniques. Programming skills (e.g., Python, Matlab, FORTRAN, C, C++) Will to learn new techniques and approaches
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IOCB Prague / Institute of Organic Chemistry and Biochemistry, Czech Academy of Sciences | Czech | about 1 month ago
Scripting/programming in bash and Python programming languages Capacity to communicate and interact with end users Fluency in technical English, written and oral Desirable: Experience in one or more of the
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analytical tools (e.g. R, Python, SQL, Stata) and data infrastructure – knowledge of Czech, written and spoken English (min. B2) – understanding of labour market and social policies is a strong advantage
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Brno University of Technology, Central European Institute of Technology | Czech | about 2 months ago
programming required, i.e. Python. Experience with working in biological and chemical laboratories. Good communication skills and written and spoken English are required. Interested candidates should provide
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optics and related models and techniques, or interest to learn them Programming skills (e.g., Python, Matlab, FORTRAN, C, C++) Advanced English (written and spoken) Will to learn new techniques and
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Analysis Research Infrastructure (RI), you will implement robust and well tested software (mostly R & Python) and contribute to open-source projects with respective methodologies (pull requests, code