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Programme? Not funded by an EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Each year, more than 150 000 deaths are associated with ovarian cancer
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at the Norwegian University of Life Sciences (NMBU) has a vacant 3 year PhD–position related to nutrition, immunology and cancer. Desired start at 01.08.2024. Processed meat is classified as carcinogenic to humans
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on-site role for a DAAD PhD Scholarship in novel drug delivery to cancer cells for Students from Developing Countries at University Hospital Schleswig-Holstein, located in Lübeck. The successful
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Cancer Cells. Biosens. Bioelectr. 216, 114643 (2022) Requirements Research FieldPhysicsEducation LevelMaster Degree or equivalent Skills/Qualifications (SEE ABOVE) The successful PhD candidate must hold a
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within a Research Infrastructure? No Offer Description Breast cancer is the most common cancer for women worldwide. Not all patients respond to chemotherapy for the necessary downstaging to permit breast
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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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of cellular networks hampers our ability to establish 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
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PhD Studentship: Data-driven Probabilistic Modelling of Clonal Dynamics in Human Tissues and Cancers
Cancer is responsible for one in eight deaths, worldwide. Cancer initiation and development is driven by the accumulation of genetic mutations within cells that maintain and regenerate human tissues
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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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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