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proteins from discs into supported membranes to make aligned protein arrays for biosensor development, also remains to be studied in detail. This project will optimize the experimental workflow
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. You will work closely with MIMER’s data scientists, technical experts, partner organizations and external trainers to ensure that training activities are aligned with AI compute services and real-world
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extraction for NGS and workflows for peptide‑ and protein-based proteotyping. Moreover, experience in bacterial genome sequencing with short‑ and long‑read platforms, downstream genome assembly and annotation
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, along with strong potential to establish an independent, high-impact research program aligned with the focus areas of Molecular Biology and the MIMS organization. Applicants are expected to have completed
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with academic and industrial partners to define relevant analytical challenges in nanoparticle characterization. Project formulation Designing and executing sub-projects aligned with the overall research
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industrial partners to define relevant analytical challenges in nanoparticle characterization. Project formulation Designing and executing sub-projects aligned with the overall research plan (e.g
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, transplantation models, advanced flow cytometry, sequencing based molecular biology (“omics”) and/or bioinformatics is required to become a successful candidate. Emphasis will be placed on personal suitability and
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, and supervision of students, doctoral candidates, and postdoctoral researchers. Teaching will take place in courses relevant to and aligned with the program’s research specializations. administrative
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biodiversity. Subject area Data-driven evolution and biodiversity concerns research that takes advantage of the massive data streams offered by techniques such as high-throughput sequencing of genomes and biomes
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higher education teaching and learning. Detailed description of the work duties, such as: Method development in AI-driven protein design Production of designed sequences targeted for experimental testing