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Your job Are you passionate about cancer research? Excited to dive into biological pathways and complex data analyses in an epidemiological setting? Eager to work within an ambitious and
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a large interdisciplinary consortium of digital democracy researchers as well as several societal partners. The successful applicant is expected to carry out research on the algorithmic foundations
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traditional large-sample approaches to study fewer individuals in unprecedented detail, leveraging an already collected rich dataset to better understand individual brain differences in autism. What are you
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bulk and clonal protein expression data from large melanoma cohorts, integrate molecular, histological, and clinical data through machine learning (ML)/AI-assisted methodologies. Your expertise in ML
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‘RobotLab’, large numbers of experiments can be carried out, yielding large datasets on properties of molecular systems. With this data, ML models are trained to predict the properties of molecular systems
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researcher will work as part of a team which also includes the principal investigator, two junior researchers writing PhD theses on ‘making’ in Roman literature, and two research assistants who support the
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H (FH) protects human cells. The group has a large portfolio of in-house generated antibodies against human complement proteins which are used to develop assays and tools to further study this system
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’ sending and receiving regions. It uses big data and agent-based modelling to analyse the impact of those changing patterns of spatial mobility on EU regions and envisage policies to counterbalance
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researchers writing PhD theses on ‘making’ in Roman literature, and two research assistants who support the team. Together, we work towards a new understanding of the ethics and aesthetics of making in
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delamination of TaC coating from the graphite substrate, which are mainly caused by the large thermal expansion mismatch between the coating and graphite substrate during chemical vapor deposition and during