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and oral English. For more detailed information on the admission criteria please see the PhD Regulations and the relevant PhD programme description . The applicant must document expertise and interest
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for analysis of the LiDAR data); basic knowledge of R or Python programming language and ability to use it in statistical analysis and processing remotely sensed data is also expected. Ability to work in a team
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of the German public sector salary system (TV-L) (27.44 hours/week; part-time: 70%) The position starts as early as possible. The contract is initially limited for 36 months. Responsibilities: Scientific
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and oral English. For more detailed information on the admission criteria please see the PhD Regulations and the relevant PhD programme description . The applicant must document expertise and interest
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engineering experience in AI for cybersecurity Strong background in large language models, with hands-on experience in training, fine-tuning, or evaluating state-of-the-art models Solid knowledge in adversarial
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grading system. proficiency in both written and oral English. All applicants are advised to read the section Before applying | NMBU | NMBU , with the NMBU PhD Regulations, the relevant MINA PhD programme
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ranking university – in a relevant subject. EU and Overseas applicants should achieve an IELTS score of 6.5 with at least 6.0 in each competency. English language requirements: Applicants must meet the
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PhD Studentship: LLM-Based Agentic AI: Foundations, Systems & Applications – PhD (University Funded)
Large language models (LLMs) can read and write text and code, call tools, and follow instructions. They now allow us to build agents that plan and act over many steps instead of giving a single
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competency. English language requirements: Applicants must meet the minimum English language requirements. Further details are available on the International website . Funding information: Studentship type
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. Programme duration 9 semesters or more Beginning Winter and summer semester Application deadline 15 June for the winter semester 15 January for the summer semester Tuition fees per semester in EUR None