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Field
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deployment; building research software (e.g., Python packages, database systems) and other open-source tools for computational social science research. Other potentially relevant experiences and skills include
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Work Hours Standard Open to External and Internal FLSA Exempt Duration Funding expected to continue Pay Basis Monthly Benefits Eligible Yes Job Summary The Department of Physics in the College of Science
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nonlinear filtering and multi-target tracking algorithms, including Gaussian mixture and RFS-based approaches. Experience with sensor fusion across heterogeneous data sources. FLSA Exempt Full Time/Part Time
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programme Reference Number CEPS-BIPD-02-2026 Is the Job related to staff position within a Research Infrastructure? No Offer Description A call for applications is now open for the attribution of one Post
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refer to https://www.uni.lu/snt-en/research-groups/sigcom/ . Your role Develop innovative methods and data-driven AI tools for highly dynamic SatCom systems Implement and open-source proof-of-concept
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required as the research progresses. Position Status Full Time Posting Number 26FA0362 Posting Open Date Posting Close Date Qualifications Minimum Education and Experience This position requires a PhD or
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models for high-dimensional and functional data ”, led by Professor Valeria Vitelli. Successful candidates will work on Bayesian models for unsupervised learning when multiple data sources are available
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and all qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other
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additions to your profile Peer-reviewed research outputs (e. g. publications, preprints under review, or substantial open-source contributions) in nature-, bio-, or cognition-inspired AI (e. g. neuro-inspired
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Posted on Thu, 03/12/2026 - 08:29 Important Info Faculty Sponsor First name: Marion Faculty Sponsor Last Name: Buckwalter Other Mentor(s) if Applicable: Open to discussion if it makes sense for your