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Field
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will be grounded in rigorous mathematics coupled with a sound understanding of the underlying earthworm ecology. Bayesian inference methodologies will be developed to estimate where and when behavioural
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uses a tumor-targeting biomolecule (e.g. antibody, peptide, small molecule) labelled with a radionuclide for either diagnostic or therapeutic purposes. Alpha-particle targeted radionuclide therapy (-TRT
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creative – You bring substantial knowledge of statistical (e.g. Bayesian) methods, strong analytical skills, and creativity. Programming skills – You are proficient in Python and/or Matlab. Research
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this heterogenous sleep disorder. We will use these novel sleep technologies to deliver targeted treatments that are more effective at treating the underlying pathophysiology than current one-size-fits-all clinical
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. You will draw on ideas from Bayesian optimization and Bayesian deep learning, generative modelling, high throughput screening, and combinatorial synthetic chemistry. Responsibilities and qualifications
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are suitable. The aims of this project are to Review operating characteristics proposed for rare disease trials Develop novel Bayesian operating characteristics for different types of rare disease trials Apply
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create a closed loop pipeline able to rapidly design binders to any target and optimized for developability. The program is rooted in DALSA (DTU’s Arena for Life Science Automation), a new
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inflammation and immune response and PK dysregulation is well documented in inflammatory pathologies [8-13]. Moreover, several PKs constitute attractive pharmacological targets for therapeutic purposes, as
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for health policy decision-making, these methods will be developed using a Bayesian framework. This PhD project will deliver a substantial contribution to original research in the area of health data science
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, engineering, bioinformatics, machine learning, artificial intelligence) to support minimally invasive and targeted preventive and predictive medicine capable of limiting age-related functional disorders