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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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and under load. Multi-scale modelling based on continuum mechanics and hydrodynamics informed by experiments and molecular modelling. High-throughput data analysis and image processing using Python
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of the land ice contribution to sea level rise until 2300 with machine learning. You will develop probabilistic machine learning “emulators” of multiple ice sheet and glacier models, based on large ensembles
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design, and agent-based modeling to address problems in psychological domains, with a particular focus on applications in anxiety disorders and meta-scientific/methodological questions in psychological
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. Desirable criteria Experience working with generative models or large language models Experience with GPU-based model training or cloud computing Knowledge of synthetic biology or regulatory sequence design
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structural maintenance of chromosomes (SMC) complexes shape chromosomes by DNA loop extrusion, how they cooperate with DNA topoisomerases, and how bacteriophages and other infectious agents manipulate host
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PhD in a relevant scientific discipline, for example, Cell Biology-related subject, Tissue Engineering or Biomaterials. Excellent manual dexterity and experience in cell culture and models, and tissue
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compartments. The successful candidate will combine cutting-edge in vitro and in vivo infection models, and both microscopy and flow cytometry-based readouts of infection to develop their independent research
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responses to modern slavery in conflict settings. The role is based within the (Re)conceptualising strand, which aims to conceptualise and critique the nexus of slavery/war through the lenses of political
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based within the (Re)conceptualising strand, which aims to conceptualise and critique the nexus of slavery/war through the lenses of political philosophy, theories of explanation, legal frameworks, and