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, exchange of data and resources. Iskratsch et al., Nat Rev Cell Mol Biol (2013) (2018) Hawkes, Phil Trans R Soc B (2022) Marhuenda et al, BioRxiv (2023) Swiatlowska et al, Sci Adv (2022) Swiatlowska et al
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rules which enable effective learning in large and deep networks and is consistent with biological data on learning in the cortex. In particular, the research will focus on evaluating and extending a
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into the ethical governance of Large Language Models (LLMs), as part of the prestigious Divirsibus Vis Plurima Solvo project. The position is full-time and fixed term for 41 months or to the funding end date of 30
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into the ethical governance of Large Language Models (LLMs), as part of the prestigious Divirsibus Vis Plurima Solvo project. The position is full-time and fixed term for 41 months or to the funding end date of 30
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desirable. Strong analytical capabilities and proficiency in the quantitative analysis of large datasets are also required. Click the 'Apply' button below to register an account with our recruitment system
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-precision vertexing and tracking of charged particles. Past and current projects include the upgrades of the Inner Tracking System (ITS) for the ALICE experiment at the Large Hadron Collider (LHC) at CERN
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take responsibility for the planning, execution and analysis of high-quality research, ensuring the validity and reliability of data at all times and will maintain ongoing scientific discussion with
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experience in Oxford Nanopore Technologies (ONT) sequencing and bioinformatics A track record of research in microbiome science, metagenomics, whole genome sequencing, big data analysis, machine learning, and
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with a large and diverse research team. Previous experience with bioorthogonal chemistry and purification and characterisation of modified biopolymers by advanced mass spectrometry is desirable. We
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a relevant subject (epidemiology, biostatistics or big data) and have experience of working with Swedish population registers on epidemiological studies. You will possess sufficient specialist