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sciences, social sciences, and humanities. More information: https://www.geo.fu-berlin.de/en/geol/fachrichtungen/planet/projects/SFB1759 The planned position is offered at the Freie Universität Berlin
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sciences, social sciences, and humanities. More information: https://www.geo.fu-berlin.de/en/geol/fachrichtungen/planet/projects/SFB1759 The planned position is offered at the Freie Universität Berlin
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sciences, social sciences, and humanities. More information: https://www.geo.fu-berlin.de/en/geol/fachrichtungen/planet/projects/SFB1759 The planned position is offered at the Freie Universität Berlin
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); Knowledge of data analysis in Matlab and/or Python environments; Previous experience in the preparation and presentation of posters at national and international scientific congresses; Fluency in English. 4
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supervised by Mykola Pechenizkiy, Cassio de Campos and Clemens Dubslaff. Where to apply Website https://www.academictransfer.com/en/jobs/362817/phd-in-resilient-machine-learni… Requirements Specific
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with complex databases and fluency in Python (pandas, NumPy). Beyond technical expertise, you’ll ensure accuracy through rigorous quality checks and collaborate closely with other analysts to solve
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, Mathematics, or a related field. Preferred Competencies Strong knowledge of one or more of the following areas of Computer Science: Introductory programming in Python, Systems programming in C, Computer Systems
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statistical and data analyses using relevant software (e.g., R, Stata, Python). Manages and documents datasets in accordance with ethical and reproducibility standards. Synthesizes findings across projects and
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systems and technologies required. Familiarity with Python, SQL, Git, APIs, cloud computing platforms, and modern software development workflows preferred. Familiarity with databases, survey platforms
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., laboratory, school-based, community-based) Proficiency in one or more of the following: R, Python, Mplus, NVivo, or related languages and research software Strong professional writing skills Demonstrated