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are offering a PhD position and a position for a postdoctoral fellow. Project background The project RadiantDx is a multidisciplinary, collaborative project that addresses the diagnosis of sepsis. Sepsis is a
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prospect to obtain a PhD degree from ETH Zurich Multifaceted, applied work in a larger team with computer scientists and clinicians/microbiologists From bench to bedside: develop technology and methods
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forces and stress fields in such systems Develop and use machine-learning based models to correlate particle deformation and contact forces in 3D systems Profile Applicants for this PhD position
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the environmental drivers that regulate these processes. We will use machine learning approaches (XGBoost, SHAP analyses) for the flux partitioning, complemented by existing tree dendrometer and sap flow measurements
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of machine learning, AI, and cancer genomics. Our lab develops novel machine learning methods to understand biological systems and cancer, with a strong focus on genomics and translational impact. We work in
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Computer Vision and Computer Graphics techniques to digitize human avatars and garments in 3D. Within this project, your role is to advance our existing algorithms that reconstruct 3D garments from multi
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scientometrics Profile Background Master’s degree ideally in information science, library science, data science, computer science, or a comparable field; a PhD is an advantage Regardless of academic background
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university dedicated to advancing science and technology. Project background We are seeking a highly motivated PhD student to contribute to the further development of SimuCell3D, a high-performance C
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experience working in collaboration with biological or clinical labs and with groups with a strong machine learning background. The starting date is by mutual agreement. We expect a pronounced interest in
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) Requirements: Experience with analyzing GPS tracks Good data-handling skills and ability to use R (compulsary) and preferably also Python and/or GIS competently Statistical/causal inference knowledge PhD degree