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Language Processing (NLP) methods, with a special focus on generative Large Language Models (LLMs), to interrogate a very large sample of Electronic Health Records from people with epilepsy across multiple NHS
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to position code 1017 Research Fellow. There is a compulsory 2 % deduction to the pension fund (see http://www.spk.no for more information). The successful applicant must comply with the guidelines that apply
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multiple deficiencies of democracy in an age of “post-democracy” and “managed democracy”. The post doc will especially address the urgent need for and emerging practices of “democratic innovation” and
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with epilepsy across multiple NHS hospitals. They are expected to have some experience working with NLP in general and LLMs in particular. They will also help to further develop machine learning models
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generative Large Language Models (LLMs), to interrogate a very large sample of Electronic Health Records from people with epilepsy across multiple NHS hospitals. They are expected to have some experience
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Proficiency – Strong skills in machine learning, federated learning, and biometric systems, with practical coding proficiency in Python and relevant ML frameworks (e.g., PyTorch, TensorFlow). Problem Solving
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) Salary Frequency: Bi-Weekly Salary Grade: BYA UC Job Title: ATH PROFL 1 BYA UC Job Code: 005171 Number of Positions: 1 Appointment Type: Staff: Contract - Contract position with a 12-month term Percentage
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in the following job description. POSITION INFORMATION Salary or Pay Range: $35,000 annual ($1,346.15 bi-weekly) Salary Frequency: Bi-Weekly Salary Grade: BYA UC Job Title: ATH PROFL 1 BYA UC Job Code
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BYA UC Job Code: 005171 Number of Positions: 1 Appointment Type: Staff: Contract - Contract position with a 12-month term Percentage of Time: 0% Fixed Shift (Work Schedule): M - F 8:00AM - 5:00PM
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UC Job Title: ATH PROFL 1 BYA UC Job Code: 005171 Number of Positions: 1 Appointment Type: Staff: Contract - Contract position with a 12-month term Percentage of Time: 0.00% Fixed Shift (Work Schedule