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Applicants are invited for a PhD fellowship/scholarship at Graduate School of Technical Sciences, Aarhus University, Denmark, within the Quantitative Genetics and Genomics programme. The position is
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, (bio)informatics, and multimodal data analysis. The research group focusses on the mechanisms of Hypothalamic-Pituitary-Gonadal (HGP) axis regulation that governs human reproduction. The group
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who want to develop and use Franklin technologies in novel, interdisciplinary research spanning our different scientific challenges . We welcome candidates from any scientific, maths, computing
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international doctoral training programme coordinated by Lund Stem Cell Center atLund University and delivered in partnership with Leiden University Medical Center, Hannover Medical School, and the Technical
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About PhD@Tec21 : The Marie Skłodowska-Curie Cofund doctoral programme PhD@Tec21 is dedicated to training the next generation of experts in mechanical and chemical engineering. The programme targets
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, (bio)informatics, and multimodal data analysis. The research group focusses on the mechanisms of Hypothalamic-Pituitary-Gonadal (HGP) axis regulation that governs human reproduction. The group
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-01-01), together with leading researchers across Europe. You will become part of a cohort of 13 PhD students jointly trained in modern biophysical techniques involving both computational and
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Declaration of interest regarding PhD project within the field of biomarker and therapeutic targe...
. The PhD student will work with patient cohort to perform biomarker analyses and statistical modeling of clinical outcomes. In parallel, the student will contribute to the development and validation of novel
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Applicants are invited for a PhD fellowship/scholarship at Graduate School of Technical Sciences, Aarhus University, Denmark, within the Electrical and Computer Engineering programme. The position
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position in the area of machine learning and computer simulations. The focus of the PhD project will lie on developing machine learning models for clustering, classification, regression and reinforcement