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simulate a refined batch of synthetic data. For each batch, the postdoc will estimate Bayes optimal error, an important guide for realistic goals for deep learning. The first batch of synthetic data will be
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-throughput sequencing, extracting huge amounts molecular data from a cell, is creating exciting opportunities for machine learning to address outstanding biological questions. The postdoc to be recruited will
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, Python, Bash). Good level on machine learning. Good level of written and oral English. Ease in a multidisciplinary environment, taste for teamwork, interpersonal skills. Scientific curiosity
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Position: Our laboratory is recruiting a postdoctoral fellow to investigate how senescent cells shape tissue function in vivo, particularly its interplay with cellular plasticity/reprogramming, immune–stromal interactions, and tissue remodeling, including in physiological contexts such as female...
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A postdoctoral position is available to study dynamic processes in early development of insects and mammals. Successful candidates will join a collaborative and interdisciplinary venture in the newly formed unit Physics of Biological Function of biophysicist Thomas Gregor. We are interested in...
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Our laboratory has one position available for postdoctoral fellow in the area of Cancer Biology and Microenvironment. We are interested in mechanisms of tumor initiation and resistance, with an emphasis on tissue long lived cells such as stromal cells, and their crosstalk with tumor cells,...
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Title of the project: Genetics of brain diversity in autism The laboratory: Human Genetics and Cognitive Functions Unit (Dir. Thomas Bourgeron) Duration of the contract: 2 years The aim of the laboratory Our laboratory is part of the Neuroscience Department of the Institut Pasteur and gathers...
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of peptidoglycan, mass spectrometry, cellular and animal models, and in confocal/immunofluorescent microscopy. The postdoc will study the model organism Helicobacter pylori and its mechanisms of release of immune
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-career scientist to develop cutting-edge machine learning approaches for understanding and designing pathogen antigens. This is a unique opportunity to help shape a new research program at the intersection
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motivated candidate with: a PhD in immunology, with expertise in T cell/B cell interactions and/or vaccinology an expertise in advanced flow cytometry a strong motivation to learn organ-on-chip technologies a