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continual learning framework for speaker verification on hardware-constrained devices, such as smart eyewears. The goal is to design robust pseudo-labeling strategies and memory-efficient contrastive
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`Data Scientist' to lead the development and validation of the machine-learning models underpinning our miniaturized haematology analyser. The successful candidate will develop and fine-tune a Vision
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posts Starting date: 14.08.2026 Job description: Postdoctoral Researcher - Probabilistic Deep Learning for Urban Air Quality (AEON-UP) Referenzcode: 1056 Arbeitsort: Geesthacht Bewerbungsfrist: 03.09.2026
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Evidence of excellence in teaching, mentoring, or facilitating studio-based and project-based learning Experience or capability for programme management and leadership is also a plus The successful
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-tenure track) beginning January 2027. The position is focused on advancing Boise State University’s mission to expand access to high-quality, applied learning opportunities across Idaho and is
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machine learning and artificial intelligence methods for pedestrian volume estimation. Assist in developing databases, data processing pipelines, and online visualization tools. Assist in preparing
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USNH Employees should apply within Workday through the Jobs Hub app 2026 Summer Hiring Dates - June 22nd - August 14th. The role of TRIO Tutor-Mentor is vital in ensuring inclusive learning
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USNH Employees should apply within Workday through the Jobs Hub app 2026 Summer Hiring Dates - June 22nd - August 14th. The role of TRIO Tutor-Mentor is vital in ensuring inclusive learning
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Your Job In this thesis you will work in the European Space Agency (ESA)-funded project Fast-EO (Fostering Advances in Foundation Models via Unsupervised and Self-Supervised Learning for Downstream
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, onboarding, and ongoing educational programs. Assesses learning needs and develops targeted training solutions. Conducts competency evaluations and provides constructive feedback. Supports