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, differentiate and migrate. As postdoc, you will principally carry out research. A certain amount of teaching may be part of your duties, up to a maximum of 20% of working hours. Qualifications To be qualified
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on studying genetic variation and determining how different variants co-occur on the same paternal or maternal haplotype, a process known as haplotype phasing. We have previously developed methods for haplotype
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qualifications Publications at top machine learning or computer vision conferences (NeurIPS, ICML, ICLR, CVPR, AISTATS etc.) are highly meriting. Expertise in Bayesian methods, generative models, multimodal models
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collaboration with experimental LNP PhD / PostDoc projects in the Barriga Lab and with M. Carroni at the Cryo EM facility SciLifeLab. Other responsibilities may include teaching, supervision and contributions
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a demonstrated interest in cell biology and biological modelling. Have experience interpreting biological datasets, particularly imaging data and multimodal datasets combining imaging and molecular
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, tissues, and organs using antibody-based imaging, transcriptomics, and systems biology approaches. Since its launch, the atlas has generated one of the world’s most comprehensive open resources for spatial
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analyses. The postdoc will be hosted at TDB, co-supervised by both groups, and will work at the interface of scientific computing, machine learning and particle physics. Project description Searches for dark
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processes as well as the impact of biological processes on materials. Our ambition is to foster a dynamic teaching and research environment that is internationally recognized for its excellence in connecting
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to enable scalability. The work will draw on concepts from dynamical systems, stochastic processes, and stochastic differential equations (SDEs), including nonequilibrium systems, to model cellular behavior