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-Holstein (UKSH), is seeking a PhD student with a strong background in statistics, machine learning (ML)/artificial intelligence (AI), or bioinformatics. Our group develops novel computational and statistical
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and applying novel statistical methods tailored to emerging research questions in biology and medicine Your Profile Master's degree or PhD in (bio-)statistics, mathematics or a related discipline Sound
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(HPC) systems Background in statistical mechanics, thermodynamics, and molecular modeling To read more about the PhD program at the Department of Physics, Chemistry and Pharmacy, read more here
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below: PhD A – Importance of dark carbon fixation in the deep ocean. There is growing evidence that dark carbon fixation contributes to the sustenance of heterotrophic life at great depth. Using 14C and
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evaluation of predictive models and statistical approaches to understand treatment outcomes. Integration of diverse data types to identify features associated with therapeutic response, resistance, or toxicity
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, radiologists, clinicians, and engineers. Human Technopole supports career development through training, mentoring and dedicated learning opportunities. What you'll bring Essential PhD Degree in a relevant
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Specification Essential Skills, Knowledge and Experience PhD (or soon to be completed) in computational biology, bioinformatics, statistical genetics, statistics, computer science, applied mathematics, or a
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from project steering efforts. Qualifications MINIMUM QUALIFICATIONS: A PhD and/or MD degree in biomedical sciences, epidemiology, biostatistics, statistics, computer science, machine learning
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and spatial omics analyses performing quality control, preprocessing, integration, annotation, visualization, and downstream statistical analyses contributing to data management, workflow development
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consortium Collaborate with industrial and academic partners in the Greater Region The PhD candidate will join the Advanced Engineering and Smart Sensor Solutions (AE3S) research group and collaborate with