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methods such as fluorescence and electron microscopy, mass spectrometry, biochemical assays, analytical separations, microbial genetics, and other biophysical and materials-characterization techniques. A
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administrative activities, adapt existing and develop new scientific techniques and experimental protocols, and test hypotheses and analyse scientific data. You will be expected to contribute ideas for new
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methods. The ability to carry out analytical procedures that are applied for proteome characterisation to a high degree of precision including sample preparation, LCMS and data analysis is also essential
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for a passionate and dynamic researcher with strong expertise in pharmacology, cell signaling and structure biology to advance our research in the above areas. Ideal candidates should have a PhD in
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application! Work assignments You will join the research project Countering Bias in AI Methods in the Social Sciences, a collaboration between the Institute for Analytical Sociology (IAS) at Linköping
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clinical, epidemiological, and immunological data. You should have a PhD, or be close to completion, in bioinformatics, computational biology, microbial genomics or a related discipline, together
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of biocompatibility and pharmacokinetics. 2. Laboratory and Analytical Skills Proficiency in planning and executing experiments independently. Accurate data recording, data processing, and statistical analysis
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and molecular data from prospective cohort studies. The main responsibilities will include managing and analysing complex epidemiological and molecular datasets, including high-dimensional omics data
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Motivated, ambitious and self-driven candidates with a PhD degree in a relevant field (chemistry or related) interested in metal recycling are encouraged to apply. Experience in the fields of coordination
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findings at international conferences and publish in high-impact peer-reviewed journals. Contribute to the supervision of Master’s and early-stage PhD students. Support, when required, the preparation