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Field
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(required) Quantitative skills in time‑series analysis, biogeochemical data processing, and uncertainty assessment (R, Matlab, Python, or similar) (Required) Field experience (desired) Excellent English
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quantitative data and ideally historical data sources - Knowledge of descriptive statistics and statistical software (e.g. R, stata, Python) - Interest in economic sociology and political economy - Knowledge
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part of change Conception of novel stochastic source coding techniques based on channel simulation Development of numerical Python code for evaluation Optimization and refinement of these techniques in
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science is advantageous. Experience in high performance computing using Linux systems is desirable. You have very solid programming skills (python and / or similar). You are an effective team player with a
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | about 18 hours ago
good language skills in English (approximately equivalent to CEFR level C1) Excellent programming skills (especially Python and Fortran) Proven publication activity in peer-reviewed journals Skills
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science, or a comparable field. You already have experience in Linux systems (Shell/Terminal), Python (e.g., for data analysis with pandas) as well as statistical methods, and Git. Knowledge in Modbus-RTU
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evaluate usability of system architectures such as Retrieval-Augmented Generation (RAG) for data retrieval and knowledge inference - implementation of your machine learning pipeline in Python (using e.g
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and databases is advantageous Proficiency in programming with C and Python (especially in the context of open-source software projects) Basic knowledge of HTML, CSS, or similar technologies
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environments, e.g., Python, R, Microsoft Azure AI Studio, RapidMiner, Dataiku, etc. Methodological and statistical competencies (e.g., for analytics) Experience with cloud platforms such as Amazon Web Services
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Science, or a related field. Demonstrated experience in image or signal processing, instrumentation data pipelines, or similar. Strong programming skills in Python, R, or MATLAB. Experience with statistical