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to: Be trained to work on the collaborative PLAY study. Work on coding and collating the dataset including coding using the R program language for data cleaning and analysis. Organize lab meetings and
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collect data in the field. Additional duties include, but are not limited to: Be trained to work on the collaborative PLAY study. Work on coding and collating the dataset including coding using the R
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equations into AI-based models to solve fluid sensing problems in a robust and efficient manner. Your role may include developing new optimization techniques, coding new algorithms, creating new mathematical
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data entry, data cleaning, and coding. The Laboratory for Synthetic Organogenesis (Simunovic Lab) at and the Laboratory for Computational Cancer Biology (Azizi Lab) at Columbia University are seeking a
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. · Assist in accurate data entry, coding, and preparation of progress reports and documentation. · Contribute to the planning and refinement of research activities based on field experience
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codes as needed. Work in an interdisciplinary team of informaticists, programmers, information quality experts, statisticians, and researchers during software development. Participate in design
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) Atomistic classical simulations of macromolecules (v) Biophysics. You can write computer codes to solve some of the daily research problems and have experience with high performance computing. You should have
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optimization techniques, coding new algorithms, creating new mathematical theory, and the analysis of large data ensembles. You will write papers for submission to academic journals, collaborate with academics
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and consenting Conduct surveys and/or qualitative interviews Manage data and audio files of research interviews at all steps--from transcription and coding through data analysis. Assist with qualitative
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employment: as soon as possible Duration of employment: 3 years Working time: 29 h 52 min (75 %) Application deadline: 2025-07-30 Code number: 326-25 Your main tasks Participation in the DFG-funded project