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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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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
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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 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 Research
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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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, methods will include video- and machine-learning supported behavioral studies in mice, mouse genetics, fluorescent imaging, electrophysiology, pharmacological studies of irritant and thermosensory receptors
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diversity policy: https://www.rug.nl/ (...)rsity-and-inclusion/ Our selection process follows the guidelines of the application code NVP: https://www.nvp-hrnetwerk.nl/nl/sollicitatiecode Acquisition is not
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remunerated in accordance with the Norwegian State Salary Scale and OsloMet’s salary policy under code 1017 as a PhD candidate, with a starting salary of NOK 532,200 per annum. The application process If you
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salary policy under code 1017 as a PhD candidate, with a starting salary of NOK 532,200 per annum. The application process If you would like to apply for this position, you must submit an electronic