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Field
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. Programming in R and/or Python Expertise in statistical methods including linear mixed effects regressions and multivariate statistical analyses Presenting work at international conferences Mentoring students
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to apply. Basic to advanced experience with computational analysis and R/Python. Excellent oral and written communication skills and be able to work effectively with collaborating researchers. Successful
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software (e.g., WaterTAP) and programming languages (e.g., Python) is highly desirable. Familiarity with the principles of electrified mineral extraction and purification processes is advantageous but not
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software programs that support this work such as Esri’s ArcGIS suite, Adobe Creative suite (InDesign, Illustrator, Photoshop), R, and/or Python. Preferred Qualifications • Experience with Esri’s ArcGIS suite
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maintenance of the FAIR Knowledge Base, ensuring all experimental and simulation data is searchable and reusable. Professional-grade Python skills with a focus on maintenance. You will be responsible
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modelling. Experience in analysing ecological monitoring data (e.g. telemetry, diet and population datasets). Advanced programming skills (R, Python, or equivalent) and reproducible analytical workflows (e.g
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in Python Well-developed research skills Experience or knowledge of computational best practices Experience of training staff Evidence of preparing publications for specialist/ general science journals
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linear, mixed-integer, and stochastic programming. Work with programming languages such as Python, Julia, or C++ to build robust analytical tools and perform large-scale data analysis. Collaborate with
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 19 days ago
science, or a related field Strong background in signal processing, data analysis, and statistical modeling Programming skills in Python and experience with reproducible workflows Experience working with
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communicate in academia. Excellent computational skills (e.g., R,Python or comparable). Fluency in written and spoken English (at least C1 level). The capacity to participate in an interdisciplinary