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-HEALING: “Targeting Extracellular Matrix Remodelling in Cutaneous Wounds to Promote Better Healing” REMOD-HEALING is a research network of leading European and Latin American scientists from academia and
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novel therapeutic targets and combination strategies to overcome microbiome-driven immune suppression in colorectal cancer. Key Responsibilities: Design and conduct experiments, data collection, and data
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of sustainability and social sciences. Requirements: a university degree (master or comparable) in Physics, Material science, or related field an independent, target- and solution-driven work attitude interest in
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can be used as a therapeutic target to treat human diseases. In this context, one key methodology that we are using is constraint-based metabolic modelling approaches. Start in our team: We are looking
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PhD student (m/f/d) in the field of chemistry, chemical engineering, materials science or comparable
of the target materials based on the characterization results Using in silico pre-screening and synthesizability predictions to generate lead candidates for the synthetic exploration Reporting, documentation, and
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, therapy resistance, and disease progression. By pinpointing cell-type-specific vulnerabilities in the genome, we aim to identify novel therapeutic targets and inform personalized treatment strategies. Our
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of the key targets identified by multiomics. A PhD or a Dr. rer. nat., Dr. biol. hum., or Dr. med. are possible. Remuneration is based on the Collective Agreement for the Public Sector of the Länder (TV-L
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. Your tasks will include the development, validation and application of suitable target and non-target LC/MS methods for characterizing the entry and degradation pathways of relevant organic
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organisations within the SLICE network and in outreach activities targeted at a wide audience. A competitive salary according to MSCA regulations (see page 118ff, https://ec.europa.eu/info/funding-tenders
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, these models will be applied to clinical cohorts of individuals suffering from mental illness to perform patient stratification, discovery of new biological mechanisms and stratified drug target identification