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senior scholars across Europe. This includes participation in six international training weeks, and international secondments with academic and non-academic partners. Requirements and programme structure
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levels. In this project, the PhD student will learn to understand and apply modern causal inference techniques such as target trial emulation, marginal structural models and G-computation to observational
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department organization, research, and teaching, please visit the department’s website . Requirements and programme structure As a PhD Student you will follow an individual PhD plan including course work
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Experience in mass spectrometry-based proteomics, structural biology, or CRISPR-mediated gene editing Proficiency in computational data analysis Strong communication and collaborative skills and an interest in
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chemistry, e.g., GCMS, HPLC and ECMS. Designing immobilization strategies. Collaborating on mechanistic and computational studies. Collaborating within the CAPeX pioneer center The successful candidate will
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Chiara De Franco cdf@sam.sdu.dk or see the course description on the study programme website. Employment Employment is in accordance with the agreement between the Ministry of Finance and the National
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existing activities in CMOS circuit design, neuromorphic computing, cryogenic electronics, and spintronic-based computing systems. The role also contributes to Denmark’s and Europe’s strategic ambitions
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basic research. We are happy to move beyond traditional disciplines and work to develop new technologies and sciences across physics, chemistry, pharmacy, mathematics, computer science and biology. The
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algorithmic aspects of cheminformatics. The position is founded by the Challenge Programme of the Novo Nordisk Foundation: “Mathematical Modelling for Microbial Community Induced Metabolic Diseases ”, led by
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relevant field. In-depth knowledge and experience with advanced data processing and statistical analysis in R; knowledge and experience in spatial modelling, machine learning, or computational methods