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: Design and implement AI/ML pipelines for multi-omics data integration, including supervised and unsupervised learning methods. Develop deep learning architectures (e.g., variational autoencoders, graph
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period of 2 years, with a possibility of extension, and subject to a 6 month trial period. About the Role The successful candidate will join a dynamic, interdisciplinary research environment dedicated
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as a center for both research and development, making Oregon a place where companies can start up and grow. The Knight Campus will reshape the higher education landscape in Oregon by training the next
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Type Staff Job Description Our Commitment Texas A&M University is committed to enriching the learning and working environment by promoting a culture that respects all perspectives, talents & lived
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, Texas Job Type Staff Job Description Our Commitment Texas A&M University is committed to enriching the learning and working environment by promoting a culture that respects all perspectives, talents
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sciences in our research. Qualifications The successful candidate has a PhD degree in (Historical) Demography or a related discipline (sociology, geography, economics). Expertise with register data
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(R1) Positions PhD Positions Country Spain Application Deadline 10 Oct 2025 - 23:59 (Europe/Amsterdam) Type of Contract Temporary Job Status Full-time Hours Per Week 37.5 Offer Starting Date 1 Nov 2025
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algorithms, and the integration of models and algorithms into simulation analysis. As a formal qualification, you must hold a PhD degree (or equivalent) in areas such as chemical engineering, chemistry
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research environment combining multiple fields - Strong collaborations with national and international partners - Mentorship and professional development support Fellowship Benefits (per month): Living
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of Engineering and Architecture → Department: EA17 - Toegepaste Fysica → Occupancy rate: 100% → Number of positions: 1 → Type of employment: Contract of limited duration → Term of assignment: 1 year → Wage