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Code2000StreetSolbjerg Plads 3 Contact City Copenhagen Website https://www.cbs.dk/en/research/departments/department-marketing Street Solbjerg Plads 3 Postal Code 2000 STATUS: EXPIRED X (formerly Twitter) Facebook
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econometric methods for analysing large datasets. Are proficient in coding and data management using tools such as Stata, R, or Python. Have a strong interest in the research area and have a strong independent
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Aarhus University (http://bio.au.dk/en) and work in the Archaea Group (https://bio.au.dk/en/research/research-areas/microbial-processes-and-diversity/archaea-group), Section for Microbiology
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Aarhus University (http://bio.au.dk/en) and work in the Archaea Group (https://bio.au.dk/en/research/research-areas/microbial-processes-and-diversity/archaea-group), Section for Microbiology
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positions available in the areas listed here: https://math.au.dk/en/about/vacancies/postdoc/ When applying, you will be asked to indicate, which of the areas listed on the page above are of interest to you
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but not limited to: Use AI techniques, including the development and application of large language models (LLMs), for text analysis of memory reports according to specific research aims. Content coding
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from Thomas Ingeman-Nielsen, tel.: +45 4525 2251 / +45 5385 8075. You can read more about DTU Sustain at https://sustain.dtu.dk/ If you are applying from abroad, you may find useful information
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Andres Masegosa (arma@cs.aau.dk), Department of Computer Science. (please see: https://andresmasegosa.github.io/ . The project’s domain PI is Professor Jamal Jokar Arsanjani (jja@plan.aau.dk), Department
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(only in Danish). There is a mutual probationary period of 3 months for the position. Where to apply Website https://aau.varbi.com/en/what:job/jobID:920321/type:job/where:39/apply:1 Requirements
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staff office (ISO) https://www.sdu.dk/en/om-sdu/job-sdu/international-staff For the right candidate, there will be possibilities to influence the project and develop new project ideas within the project