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Field
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modelling, simulation, and data analysis, applied first and foremost to the field of platelet biology and haemostasis. The postholder will play a key role in a project that will develop novel computational
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Is the Job related to staff position within a Research Infrastructure? No Offer Description About us The Social Computation and Representation Lab (SoCR Lab; www.socrlab.net ) uses mathematical models
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About us The Social Computation and Representation Lab (SoCR Lab; www.socrlab.net) uses mathematical models and causal experimental designs to understand the fundamental rules behind human and AI
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help develop and characterise advanced patient-derived tumour models and use them to test promising therapeutic targets that exploit vulnerabilities caused by loss of the SMARCB1 gene. This role offers
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experience in: Deep learning Medical imaging computing (preferably neuroimaging) Computationally efficient deep learning Deep learning model generalisation techniques. Translating deep learning models
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circular innovation scenarios to demonstrate the viability of circular innovation and associated business models across different healthcare contexts. Identifying and documenting behaviour change
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: ‘Understanding how land-use-climate interactions restructure terrestrial biodiversity to develop a new generation of global biodiversity models’, commencing in early Autumn 2025. This Research Project is being
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swine ALS model. The postholder will lead wet-lab experimental work, across biophysical (MANT-ATP) and functional genomic assays (methylome, transcriptome and proteome), generating and integrating multi
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learning “emulators” of multiple ice sheet and glacier models, based on large ensembles of simulations extending to 2300. The simulations will be from two international projects aiming to inform
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of Univ.-Prof. Tarja Knuuttila. The main research areas associated with this professorship are general philosophy of science, with focus on scientific modeling, interdisciplinarity and philosophy