218 parallel-and-distributed-computing-"Multiple" Postdoctoral positions at Nature Careers
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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
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currently exploring a range of exciting topics at the intersection between computational neuroscience and probabilistic machine learning, in particular, to derive mechanistic insights from neural data. We
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to a solid research program with clear project goals and strong support for career development. Key Research Techniques & Models: Mouse models: Knockout, conditional knockout, transgenic, and patient
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. the genetic `capabilities’) is distributed and maintained across community members, and how these distributions of functions shape ecosystem-level properties. Answering these questions in a host-associated
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platforms. In addition to mechanistic studies, the lab also specializes in the discovery and development of drugs for the treatment of diabetes and obesity. Our research program is well funded by National
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scholarship amounts to 720 000 SEK in total (360 000 SEK annual average) and is usually paid out as four separate payments during scholarship period. This project is running in parallel with another larger
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-640; Gastroenterology 2021 Jul 8:S0016-5085(21)03159-0; Nature Reviews Cancer 2023 Mar 27:1-20, Nature Cell Biology, 2024 May;26(5):840). Our program is well-funded by NCI, with multiple R01 grants and
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surface properties. Many of these properties are believed to represent adaptations to specific environmental conditions, resulting in distinct distributions of certain combinations of leaf properties
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Postdoctoral Research Associate - Human Organoid/Assembloid Models of Schizophrenia-associated Risks
related fields within the last 3 years and who have experience in organoid development, patch-clamp techniques, 2-photon imaging, and computational neuroscience. The successful candidate will lead an
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, ability to work efficiently in a team and with collaborators Experience in Single Cell Multi-omics techniques and multiple component analysis programs is an advantage Experience in cellular immunology and