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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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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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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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(e.g., Reinforcement Learning, Agent Based Modelling) to join our team full-time as part of a large international collaboration of European researchers (incl. Tobias Dienlin, Veronica Kalmus, Adrian
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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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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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tools are need during the development of new imaging and sensing systems. With the rapid deployment of data-driven methods, repliable uncertainty quantification remains a big challenge that requires
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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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currents form the deepest canyons, longest channels and largest sediment accumulations on our planet. They also break seafloor telecommunication cable networks that form the backbone of global data transfer