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contract for 38 hours per week for a period of a year with a possible extension of another half year in case of sufficient funding. The preferred starting date is ultimately 1st of June 2026. The gross
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case an applicant does not wish to be registered on the public application list, the applicant will need to give a reasonable justification. Information about the applicant can still be published
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an assessment of criminal conviction history conducted on an individualized and case-by-case basis. Please be advised that Argonne positions require upon hire (or may require in the future) for the individual be
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. In case of equal qualifications, internal candidates will be prioritized. At Maastricht University, we prefer to contact potential candidates directly. We therefore kindly ask that no agencies
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, including pharmaceuticals, agrochemicals, and food industries. There are multiple opportunities to collaborate, take part in network events and undertake research placements within this project. You will have
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equivalent. Diploma should be recognised by NACID, in case the awarding institution is not Bulgarian. Specific Requirements YOUR FUNCTION *To design, develop, and evaluate AI-based techniques and algorithms
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to any employee or other representative at St. Jude via email, the internet or in any form and/or method without a valid written search agreement in place and approved by HR will result in no fee being
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 2 months ago
to bandit algorithms when the performance criterion is not the expected outcome but some risk averse measure such as CVaR or entropic risk. The objective is to propose and analyze new risk-aware bandit
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the deadline stipulated in this Notice. The Services will issue a message proving the electronic validation of the same. 2.4.2 — Instructions for the submission of applications, in digital format, are available
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mapping approach developed in WP1. The main outcome of this research is a rich, comparable, multi-modal data set, produced in collaboration with local communities across field sites. This data will be used