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, or Python. Experience in visualization software, e.g., Blender, DragonFly. Knowledgeable in programming, e.g., Python. Experience in developing user-friendly Graphical User Interfaces (GUI:s) High motivation
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related field. Experience using SQL for data management. Experience using Python and/or R for data analysis. Experience using Tableau and/or comparable BI tools for data visualization. Familiarity with CRM
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/maintaining, isotope ratio mass spectrometers or similar Familiarity with software that can be used to process mass spectrometric data (R, MATLAB, Python), and some basic coding experience. Cooperation between
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Python and with machine learning toolkits; experience with software development practices, including git-based version control and CI/CD; excellent project management, analytical, problem-solving
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. Main duties and responsibilities Extract and harden a scoring engine from an existing Python/Streamlit prototype into robust, standalone code Rebuild the data layer from Neo4j to a Python-native graph
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16S rRNA gene sequencing, whole microbial genome sequencing and shotgun metagenomic sequencing Develops ad hoc scripts (bash, R and Python) for data analysis Familiarity with UNIX-based systems
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | about 21 hours ago
demography, sociology, economics, or a related field. A good command of English and knowledge of R or Python are appreciated. The tasks include: support of the demoscapes.org project in data acquisition and
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scripting (e.g. bash, awk), configuration management (e.g. Puppet, Ansible), scientific packaging frameworks (e.g. Spack, Easybuild) Competence in a high-level programming language (e.g. Python, Golang) and
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applications and data portfolio and are expected to cross-train to support service continuity. Technologies may include Java, JSP, C#, ASP.NET, HTML5, CSS, JavaScript, modern frontend frameworks, Python, SQL
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knowledge of applied statistics, empirical research methods and quantitative analysis. Experience handling, cleaning, validating and analysing complex datasets. Good coding skills; familiarity with Python and