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approach. Fundamental research focuses on induced pluripotent stem cell (iPSC)-derived neuronal models to elucidate the molecular and cellular alterations contributing to neurodegeneration in familial and
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, including data processing and analysis through chemometric modelling. It will also be considered as a preferential factor: a. Experience in PHA characterization, including chemical, physical, and molecular
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. Being independent and able to interface with multiple work groups is critical. We use biochemical, proteomic, cell biology, molecular biology, genomic, epigenomic, and mouse model approaches and
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University of Massachusetts Medical School | Worcester, Massachusetts | United States | 3 months ago
associated with genome editing. 4) The translation of the developed genome editing reagents to clinical application through in vivo safety and efficacy studies in relevant mouse models. These studies will
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dataDesigning hierarchical graph‑based models to predict toxicity under uncertainty by linking molecular‑level and system‑level knowledgeAdvancing causal inference methods to predict transformation products under
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collaboration with i3S; Investigate molecular recognition mechanisms in a cellular context; Develop and implement cellular glycosylation remodeling models; Perform proof-of-concept and functional studies; Mentor
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behavior of pests, their response to pesticides, including physiological and genetic mechanisms of resistance, innovations in applied pest management research (e.g., molecular, computational modeling
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, biophysical assays, and murine models of pulmonary embolism. A second goal will consist of integrating experimental findings with in-silico models and microfluidic flow systems to explore the interplay between
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the project topic Preferred selection criteria Experience from previous postdoctoral research work Knowledge about plant molecular, cell and/or stress biology in model and/or crop plants Experience from
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characterizing the epigenetic landscape of DM-associated genes and mapping their regulatory elements in cellular models using genomic methods (e.g., ATAC-seq, CUT&RUN, Capture-C, Micro-C). Next, in collaboration