The Computational Biology Group seeks a highly skilled and motivated Postdoctoral fellow to work on an exciting project that aims at developing a computational framework for modeling stem cell-niche interactions to understand the mechanisms of tissue homeostasis and regeneration. In particular, the selected candidate shall develop a cell-cell interaction network-based computational approach, using single-cell transcriptomics data, to model cell populations dynamics and design strategies for cell rejuvenation. Research will be focused on stem cells of skeletal muscle and to design strategies for enhancing regeneration in the aging muscle tissue. In addition, he/she will participate in the project management and planning, including the supervision of one Ph.D. student. This is a collaborative project with Altos Lab, where the experimental validation of the computational predictions will be conducted
Requirements:
Ph.D. degree in computer science, engineering, physics or a related discipline; Strong computational skills; Prior experience in mathematical modelling of biological networks is strongly desired; A strong first-author publication record in the fields of Bioinformatics and Computational Biology; Excellent working knowledge in English
Text:
Postdoctoral Fellow in Computational Systems Biology The Computational Biology Group seeks a highly skilled and motivated Postdoctoral fellow to work on an exciting project that aims at developing a computational framework for modeling stem cell-niche interactions to understand the mechanisms of tissue homeostasis and regeneration. In particular, the selected candidate shall develop a cell-cell interaction network-based computational approach, using single-cell transcriptomics data, to model cell populations dynamics and design strategies for cell rejuvenation. Research will be focused on stem cells of skeletal muscle and to design strategies for enhancing regeneration in the aging muscle tissue. In addition, he/she will participate in the project management and planning, including the supervision of one Ph.D. student. This is a collaborative project with Altos Lab, where the experimental validation of the computational predictions will be conducted Ph.D. degree in computer science, engineering, physics or a related discipline; Strong computational skills; Prior experience in mathematical modelling of biological networks is strongly desired; A strong first-author publication record in the fields of Bioinformatics and Computational Biology; Excellent working knowledge in English
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