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disabilities in the early modern period. The aim is to radically historize healing and dis/ability by significantly broadening the analytical framework from a focus on patients towards an actor-centered approach
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number of the following topics: Continuous/discrete wave (CV/DV) quantum key distribution (QKD) QKD components Knowledge of network topologies Implement and open-source proof-of-concept software tools
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public via meetings and conferences. You will carry out a limited number of teaching and research support tasks for the Department of Rehabilitation Sciences and Physiotherapy. You will be expected
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perform their structure determination leveraging the advanced capabilities of different mass spectrometry techniques, NMR spectroscopy and database searches along with other analytical methods. • You
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this academic year can therefore apply. You have a strong interest in microbiology, adaptation, and genomics. You are a critical, analytic thinker. You work with rigor and you have a keen eye for detail. You are
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good analytical skills, as we expect you to be both a scientist and an engineer. Good to excellent English language skills (spoken as well as written). As the PhD position is highly interdisciplinary
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of assays to characterise ATMPs, including potency, identity, purity, sterility (ELISA, qPCR, flow cytometry, HPLC-based analytics) Process development and technology transfer to GMP Development, optimisation
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with causal inference or debiased machine learning is a plus. - You are creative and have strong analytical skills. - You are a team player, motivated to work in a team of statisticians, and have strong
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present results both at international conferences and in scientific journals, using open science practices. This research will lead to a PhD degree. Throughout the complete PhD period, you receive a full
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quantitative data analyses, using complex state-of-the-art analytic techniques (in R and/or Mplus). Dissemination of research findings in the form of peer-reviewed scientific articles, conference presentations