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communication skills in written and spoken English. Proficiency in programming with high-level languages like Python. The following will strengthen your application: Familiarity with open quantum systems
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support. Experience of working in international collaborations or networks Experience of teaching Experience with scripting (e.g., Bash, Python, or R) and version control using Git About the employment
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Architectures Demonstrated ability and interest in working across methodological boundaries Solid programming skills (e.g. Python) and experience with research-oriented software development Evidence of research
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, Forest Technology, or a related field. Knowledge about Nordic forestry practices, specifically mechanized harvesting and boreal management. Advanced programming skills in Python and R for statistical
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physics, electrical engineering, or a related field Are interested in quantum technology, quantum information, or condensed‑matter physics Have basic programming experience. Python, MATLAB, or similar is an
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of Python or a similar programming language. Experience in developing pipelines for data processing and management, such as Nextflow or similar systems. Knowledge of methods and applications in molecular
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) Programming: Advanced proficiency in Python, R, or similar programming languages. Bioinformatics background: Industry or academic experience in applying data science to biomarker discovery/validation studies
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). Knowledge in programming is required (Python is beneficial but not mandatory). Willingness to do experimental science, including instrument building, sample preparation, and working in laboratories
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on the following areas: Development algorithms and their software implementation in Python and PyTorch Validation of results and comparative analysis of proposed method with baseline approaches Qualifications You
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communication skills in written and spoken English. It is a merit if the candidate has skills in programming languages (e.g. python or R) and good knowledge about agricultural cropping systems and ecology. In