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Research Fellow, you must participate in an approved educational programme for a PhD degree within a period of 3 years. The deadline for applying for admission to the PhD programme at The Faculty of Science
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Fellow with expertise in secure cyber systems engineering to join our thriving and growing secure cyber systems research group. This role will give you the opportunity to work on exciting, innovative
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awarded within 3 years in business administration, computer science, information systems, data science, or a related discipline. Programming & Data Skills: Strong proficiency in Python (e.g., NumPy, Pandas
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well as optical and laser setups Develop and implement protocols for quantum computing and quantum sensing experiments Collaborate closely with a multidisciplinary team of PhD Students, technicians, and engineers
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postdoctoral research experience or equivalent qualifications and experience in Computer Science or a related field; and (b) previous research background in the security/LLM areas. Applicants are invited
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leading to a doctoral degree. The successful candidate will be admitted to the PhD program in Social Sciences. The education includes relevant courses amounting to about six months of study, a dissertation
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the main advisor from the PhD programme. CV Transcripts and diplomas and official confirmation that the doctoral thesis has been submitted. Relevant certificates/references. List of any works of a scientific
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Campus in Viken. The Department of Computer Science offers three bachelor’s degree programmes, a master’s degree programme, and is part of a cross-departmental PhD program. Academic staff at the department
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educational programme for a PhD degree within a period of 3 years. The deadline for applying for admission to the PhD programme at The Faculty of Science and Technology is 2months after you start your position
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awarded within 3 years in business administration, computer science, information systems, data science, or a related discipline. Programming & Data Skills: Strong proficiency in Python (e.g., NumPy, Pandas