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other regionalized GCAM variants, as well as other integrated assessment or earth system models, is highly desirable. Advanced programming skills in R and Python for data processing and visualization
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-science or computational background with hands-on Python skills. Experience with predictive or uncertainty-aware modelling, AI-guided experimentation or related data-driven methods. Experience with
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journals It is an advantage if you have: We prefer candidates who have the following skills and experience: Proficiency in R, Python, and shell scripting Familiarity with Unix/Linux operating systems
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is an advantage if you have: Experience working with sensitive data in TSD Methodologal knowledge in cell sorting Basic programming skills (R/Python/Unix) Competence in statistics (R/SPSS/Stata
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and research software relevant to job duties (Linux operating system, Gaussian/ ORCA , AMBER /OpenMM, coding skills in Python) Supervisory Responsibilities No Required operation of university owned
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. Bioinformatic or computational experience in for example R or Python, or analysis of single-cell or genomic datasets or a willingness to develop these skills with support from the team. Experience with
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work rather than only contributed to it. Fluency in at least one scientific programming language (R, Python, MATLAB) and demonstrated experience assembling or analyzing large or heterogeneous datasets
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vision / machine learning, with solid programming skills (e.g., Python, PyTorch) and demonstrated ability to conduct innovative research. Independent, highly analytical, proactive, and a strong team
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communication skills in English Demonstrated fit to one of the three research areas (a) to (c) listed above Proficiency in programming and data analysis in the statistical software environment R, Python, or
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, applied physics, or a closely related field Background in atmospheric radiation and passive radiometric remote sensing Significant experience in scientific programming in Python, MATLAB, or similar