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Temporary Job Status Full-time Hours Per Week 40 Offer Starting Date 1 Jan 2027 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number Recruitment No 62
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Temporary Job Status Full-time Hours Per Week 40 Offer Starting Date 1 Jan 2027 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number Recruitment No 61
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SPARK program. The laboratory has strong collaborations across Stanford and beyond, providing opportunities for postdoctoral scholars to expand their scientific expertise and collaborative networks
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, building on their prior experience as a Post-Doctoral Researcher in UCC or elsewhere, where you will conduct a specified programme of research and research training under the guidance of a Principal
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addition to applicants’ personal networks, applicants may find Breton researchers’ expressions of interest to supervise a Bienvenüe+ fellow on the programme website. SELECTION PROCESS First step: eligibility check Second
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identifying ecological and functional connections between environmental and host-associated microbiomes. The postdoctoral researcher will work closely with a PhD student and an international network
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computations emerge from cortex-wide neural dynamics across species. The PDRA will contribute primarily to developing and analysing Cortically-Embedded Recurrent Neural Networks (CERNNs) that simulate large
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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 Applications are invited for a postdoctoral position at the
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on computational many-body techniques, particularly Density Matrix Renormalization Group, Tensor Network, Exact Diagonalization and Monte Carlo simulations are strongly encouraged to apply. To apply, candidates
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University of California, Los Angeles | Los Angeles, California | United States | about 22 hours ago
seeking applicants for a full-time postdoctoral scholar position in Computational Immunology and Genomics. The successful candidate will develop and apply computational, statistical, and machine-learning