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after 5 seconds) Save job Click to add the job to your shortlist Send job Job Details The SDU Adaptive Intelligence Lab (ADIN Lab) ( https://adinlab.github.io/ ) located under the Data Science and
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-time data into WRF-Chem • You will be contributing to the development of machine learning models used on data from Poleno Jupiters, applying Python and machine learning. • The position will focus
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from Poleno Jupiters, applying Python and machine learning. The position will focus on implementing grass pollen (both generic grasses and specific grass species) and selected fungal spores such as
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apply Python-based image/data analysis tools for large time-resolved TEM datasets Establish quantitative links between 3D atomic structure, dynamics and catalytic functions of single nanoparticles
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redirected to an external site after 5 seconds) Save job Click to add the job to your shortlist Send job Job Details The SDU Adaptive Intelligence Lab (ADIN Lab) ( https://adinlab.github.io/ ) located
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(for instance multislice). Experience with data analysis performed using Python or similar. Personal drive and self-motivated. Good communication skills in English, both written and spoken. Being able
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about the project here https://www.planttip.dk/ In this already ongoing project, we are now moving into the phase of building the model, using available knowledge, data, and theories on consumer
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-reviewed journals; collaboration in interdisciplinary and international research environments. Experience with software such as R, Python, SPSS, Stata, Sawtooth, Qualtrics or similar tools will be
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affinity to computational tools and methods, and strong programming skills (e.g., Python and/or R). Familiarity with research on emotions, social norms, incivility, or political violence. High level of