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sciences. Areas of interest include but are not limited to: AI-driven drug discovery and development, quantitative systems pharmacology, large language models for education and clinical support, machine
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and in vivo imaging modalities using state-of-the-art animal models for cancer research. The post-doctoral researcher will work on a large, FNR CORE-funded project aimed at exploring the complex
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tackle a broad spectrum of topics, including pandemic modeling and forecasting, pathogen genomics, epidemiological big-data analytics, global health informatics, and vaccine development strategies. Drawing
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personnel management of a large area of responsibility. The requirements for appointment are a university degree in medicine, recognition as a specialist in the field of orthopaedics and trauma surgery
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Postdoctoral researcher in Environmental Analytical Chemistry, with a focus on non-target screeni...
related fields are welcome, such as connections with hazard characterisation, big data analyses as well as environmental fate and multisource exposure studies. While the work will focus on a Danish and
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manuscripts. Qualified candidates are researchers who are already exploring how data science can be merged with clinical trial methodologies in the context of a multi-site health system to facilitate large
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data is a strong asset Development of ShinyApps Experience with data management of large scale datasets Knowledge of immunology is a plus What we offer Full-time position - We will initially start with a
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systems, or network analysis. Experience with methods for causal inference, or modelling of biological systems is also considered a merit, along with prior work involving large-scale sequencing data such as
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processes. A demonstrated interest in data visualization and large-scale data analysis is highly desirable. The ideal candidate will have a keen interest in understanding complex biological systems
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contributing to specifically the area of handling spatial data to assess the distribution of several soil properties and fungal communities using samples collected from multiple habitats and land use types at a