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predictive binding models by performing high-throughput and quantitative biochemical binding measurements across hundreds of thousands of sequence variants. We are seeking PhD candidates with strong and
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causal relations between genetic alterations and disease 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
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, including around 45 PhD students, work at the department. New employees and students are recruited from all over the world and English is the main working language. The department is located at the Biomedical
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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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proteomics methods in a clinical setting. The PhD student will be part of a multi-disciplinary team consisting of experts in cancer biology, proteomics, bioinformatics as well as lung oncology. Within
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will be launched with the recruitment of 20 academic and 7 industrial PhD students. During the course of the DDLS program more than 260 PhD students and 200 postdocs will be part of the Research School
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Biology, Plant Physiology, Plant Systematics and Environmental and Climate Sciences. Presently around 100 people in 25 research groups work at DEEP, including 35 PhD students and 10 postdocs. The research
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about 220 employees (http://www.icm.uu.se ). The PhD position is available in Jens Carlsson’s group in the computational biology and bioinformatics programme. Jens Carlsson’s research focuses on using
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opportunity as an Industrial PhD student to work on a project that applies machine learning to improve diagnostic and reporting workflow processes in clinical kidney pathology. This project is a collaboration
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) Foundation. During 2024 the DDLS Research School will be launched with the recruitment of 20 academic and 7 industrial PhD students. During the course of the DDLS program more than 260 PhD students and 200