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of interest, transparency, and accountability. More about the position The main purpose of the fellowship is research training leading to the successful completion of a PhD. The position is conditional
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with autism, which is funded by a grant from the Kavli Trust (Principal Investigator: Daniel Quintana). The fellowship is for a period of 3 years. The employment period can be considered to be up to 4
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units of the Faculty of Social Sciences, and has 75 permanent and 70 temporary members of scientific staff. Degrees are offered at bachelor and master level, plus a clinical training programme, and the
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under the “Cryptographic elements of trustworthy AI” project. The main research objectives for the project are the following: Analyze security of Machine Learning (ML) models against data modifications
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for an enthusiastic and hard-working scientist with a Masters degree or equivalent in life sciences. We prioritize candidates with work experience in academic or private research environments, in the fields of stem
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invited for interviews. All candidates and projects will have to undergo a check versus national export, sanctions and security regulations. Candidates may be excluded based on these checks. Primary
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. within the UiB. The researcher is normally not obliged to teach but is expected to partake in the supervision of masters and PhD students, to the extent that this is a natural part of the work in the