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Apply now » Luxembourgish National Graduate Trainee in Country Capability Development Job Requisition ID: 20914 Date Posted: 24 September 2026 Closing Date: 22 October 2026 23:59 CET/CEST Publication
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Required skills/knowledge includes: Data science/algorithm development Data science / Machine Learning languages to include Python Research, development and implementation of machine learning models
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For students awarded a University of Waikato Doctoral Scholarship researching sustainable development. Eligibility The scholarship is awarded annually to a student awarded a University of Waikato
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: Data science/algorithm development Data science / Machine Learning languages to include Python Research, development and implementation of machine learning models Preferred skills/knowledge includes
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Eligibility and selection criteria Eligibility Applicant must: be an Australian citizen be of Australian Aboriginal and/or Torres Strait Islander heritage. Enrolment criteria Applicant must be: a commencing first year Swinburne student in Semester 1, 2027 enrolled in any Swinburne vocational...
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For candidates For employers For members AcademicTransfer Sign in Sign up en English (EN) Nederlands (NL) All jobs PhD Candidate Development of Humin Based Recyclable Networks Deadline 18 Sep ’26
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experimental systems for cryogenic measurements Development of a microwave quantum control & readout stack Development of Python code to operate quantum systems Detailed experimental characterization of
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candidate for postdoctoral researcher position to conduct collaborative research aimed at the development of novel data mining algorithm to neuroimaging, genetic, and clinical data for brain disorders
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complex nonlinear models, with unique research opportunities in algorithm and hardware co-design, particularly for resource-constrained environments. Applications focus on edge intelligence
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develop a concrete cryptographic algorithm. Although desired, background in advanced cryptography is not a must. It is also a plus to have some programming experience. Implementation of a PET algorithm