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are more than welcome to contact us. You will find contact persons at the bottom of the jobpost. Further information Read more about our recruitment process here The appointment process at Aalborg
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of the position, the applicant(s) chosen is expected to be physically present on a regular basis and actively participate in the teaching and research activities of the Department. The successful applicant is
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fulfill the research requirements of the position, the applicant(s) chosen is expected to be physically present on a regular basis and actively participate in the teaching and research activities
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spatial variability of soil health. You will be contributing to specifically the area of using proximal and remote sensors, soil physical, chemical and biological data, as well as plant and weather data
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@mmmi.sdu.dk ). If you experience technical problems with the online application process, contact SDU’s HR support at hcm-support@sdu.dk . Application procedure Applicants are advised to carefully read SDU’s
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to consider material received after the deadline, and not to consider applications that do not live up to the above-mentioned requirements. The further process After the expiry of the deadline for applications
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to the other phases of the research process, including writing academic papers and reports, dissemination of results and participation in meetings and the ongoing tasks in the project in collaboration with other
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of PhD diploma, if Phd diploma has not yet been received, please include statement from your supervisor Shortlisting may be used in the assessment process. Incomplete applications and applications received
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will be physically located in both places during their employment. Our Research The Natural Language Processing Section provides a strong, international, and diverse environment for research within core
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include: Skills in mathematical modelling and machine learning of relevant physical glacier processes (ice sheet and mountain glaciers), with proficiency in MATLAB/Python/Fortran, and related software tools