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and take responsibility for its operation, upgrades, and routine maintenance. Map electrolyte–cathode compatibility and reaction kinetics using high-throughput SDC methodologies. Develop standard
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cardiovascular research as a Postdoctoral Fellow. This position offers an exciting opportunity to expand your research expertise, lead laboratory operations, mentor developing researchers, and work toward
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pension scheme, 30 days’ leave per annum (pro-rata for part-time/fixed-term), a season ticket loan scheme and access to a comprehensive range of personal and professional development opportunities. In
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Max Planck Institute for Extraterrestrial Physics, Garching | Garching an der Alz, Bayern | Germany | about 2 months ago
on Nanoparticle Experiment. The position is specifically targeted at Nano-Particle Mass Spectrometry (NPMS) and its experimental development on the SRET (Split-Ring Electrode Trap) setup at the CAS department
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children with noma and geographically matched control participants across multiple study sites. Building on our initial metagenomic study of noma, you will develop and apply reproducible analytical workflows
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Education: Ph.D. required. Background: Experience in molecular and developmental biology. Lab Techniques: You will use and train on advanced methods like DNA/RNA isolation, RT-qPCR, Flow Cytometry
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focused on aortic disease and complex endovascular aortic repairs. Responsibilities include protocol development, study design, data collection and analysis, interpretation of clinical and imaging findings
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elaborated an algorithm for identification of cancer specific T cells, which selectively kill autologous tumour but not healthy lung tissue. Simultaneously, we have developed the method for identification and
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focuses on the development of next-generation materials for specialised engineering environments. Bringing together expertise in materials science, polymer engineering and civil engineering, the research
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, development, and maintenance of online research databases using REDCap Use of electronic medical record systems (e.g., EPIC) and large claim/surveillance datasets for clinical research Develop domain knowledge