43 machine-learning-phd "University of Zurich" PhD positions at Karolinska Institutet
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group has expertise in radiology, biostatistics and machine learning. We have a strong collaboration with research groups at KTH, at KI, and internationally within two EU projects and a new collaboration
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phenotypes. In this PhD you will address this by a deep learning model of drug responses in cancer. The PhD position focuses on predicting cell type-specific drug responses, identifying transcriptional
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us, and others, to learn the inner secrets of biological system at a significantly faster rate. The PhD student will need to actively contribute and innovate to the development of this technique and
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understudied. Building on novel insights related to TR NK cells from this work, we will address questions related to metabolism and spatial localization of human TR NK cells at steady state in this PhD-student
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collectively offer expertise in computational biology, genetics, epidemiology, and machine learning. The research will be closely linked to the WISDOM project, an EU-funded initiative coordinated by the main
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education. A) General eligibility requirement You meet the general eligibility requirement for doctoral/third-cycle/PhD education if you: have been awarded a second-cycle/advanced/master qualification (i.e
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for a PhD student who will contribute to the unit of cardiorenal epidemiology led by Prof Juan Jesus Carrero (https://staff.ki.se/people/juan-jesus-carrero ). The main goal of research activities in his
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new recommendations and long-term mitigation strategies. The goal of this PhD project is to develop a novel modelling framework to quantify the societal and health impacts of hydroclimate extremes also
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of the doctoral student The PhD project will aim at integrating single cell clonal, spatial and dissociated cell transcriptomics data for 3D neurodevelopmental reconstruction using a machine learning approach and
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of four years of full-time doctoral education is required. One Ph.D. position is available in cancer precision medicine using advanced machine learning methods and AI methods on large-scale data