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interviews, focus groups, desk top study and field work. They will be actively involved in the write-up and dissemination of these findings. The successful applicant will have a PhD or equivalent qualification
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undertake postgraduate teaching and student supervision. You will have a PhD (for the Grade 7 Research Associate role) or postgraduate qualification (for the Grade 6 Research Assistant role) in a related
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doctoral researcher(PhD student) with a strong background in probabilistic machine learning, statistics, applied mathematics, computer science, or a related field, and strong programming skills, to work
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. **This workload distribution is subject to change based on the needs of the college or performance criteria** Knowledge, Skills and Abilities: Excellent communication skills, with the ability to engage effectively
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, and test construction while maintaining a twelve (12) credit hour teaching workload. Maintain office hours and provide student academic advising and guidance. Provide service to the department
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the form of 48 state education grant portions (in Danish: “SU-klip”) plus salary for work (teaching, supervision etc.) totalling a workload of 150 working hours per year. A PhD grant portion is currently
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Knowledge, Qualifications Essential: A1 Scottish Credit and Qualification Framework level 12 (PhD) plus track record of emerging independence within a research environment, or alternatively possess
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computing, data science, and cyberinfrastructure environments supporting large-scale research workloads (Required) 2. Demonstrated knowledge of scale-out, parallel, distributed, object, and federated storage
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(CV) and a covering letter explaining how your qualifications, knowledge and experience meet the essential criteria for the role. Shortlisted candidates will be invited to an interview, which is
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computing, data science, and cyberinfrastructure environments supporting large-scale research workloads (Required) 2. Demonstrated knowledge of scale-out, parallel, distributed, object, and federated storage