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data. For this, the applicant will generate in silico datasets from diverse computational models of development, such as models of tooth development and gene regulatory networks. They will leverage
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/researcher position is available in Mariana Braga’s group at the Swedish University of Agricultural Sciences (SLU) in Uppsala, Sweden. Research in the Evolving Networks lab (evonetslab.github.io ) centers
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at SciLifeLab An opportunity to develop an internationally competitive research profile and networks as well as guidance for future career development Guidance on relocating and settling in at KTH and in Sweden
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provides excellent access to research infrastructure, including databases, computational facilities and instrumentation, as well as to clinical materials and networks and training activities. The four
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experience with machine learning techniques in general and neural networks in particular will be highly beneficial.
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that are recruited to the program will form a network with the support of the SciLifeLab Committee KI. This is a joint postdoctoral position between the lab of Andrea Fossati (KI/MTC, SciLIfeLab) and the lab
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career development plan. The program integrates international, interdisciplinary, and intersectoral elements to provide a well-rounded educational experience. Networking Opportunities: Build lasting
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to undertake: Project 1: Multi-omics data integration using machine learning to generate new, data-driven, and context-specific association networks and signaling pathways. See here for a reference paper from