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description The position is connected to the project “Bayesian Enhanced Tensor Factorization Embedding Structure (BETTER)”, and this PhD project specifically aims at developing a unified, scalable, and
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only) Apply link: https://aprecruit.berkeley.edu/JPF05307 Help contact: leisa@berkeley.edu About UC Berkeley UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission
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(R2) Positions PhD Positions Application Deadline 19 Apr 2026 - 23:59 (Europe/London) Country United Kingdom Type of Contract Temporary Job Status Full-time Hours Per Week 37 Is the job funded through
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The PhD position is part of project embedded within the Marie
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 10 days ago
programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Area of research: PHD Thesis Job description:PhD Position in Machine Learning for Single-Cell Genomics (f
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academic development and offers legal and investment support. Responsibilities: 1)Teach courses related to analog and digital signal processing, analog and digital circuits, embedded systems, and digital
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Funding for: UK Students Funding amount: Funding will cover tuition fees for UK students (at the Home rate), a stipend at the UKRI rate , and a consumables budget. This is a 3.5-year PhD
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folding and assembly during biogenesis. This position is embedded within the vibrant, collaborative environment of the Aston Institute for Membrane Excellence (AIME). AIME is a first-of-its-kind institute
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The PhD candidate will be hosted at IRCELYON (UMR 5256
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and perform LRM/TRL calibrations (VNA) from coax to CPW launches for de‑embedded S‑parameters Modelling, linearisation, and system integration: Extract behavioural models of the OLED electro‑optical