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) that connects different countries with the overarching aim to develop cutting-edge human in vitro and in silico biomedical tools to better understand the biology of brain disease/disorders. You will employ
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biology and bioinformatics, as well as in Machine Learning (including Large Language Models). Good understanding of evolutionary and molecular biology concepts, and good statistical (data analysis) and
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. Molecular analysis of different cohorts of lung cancer patients. Animal experimentation (generation of PDX, humanized PDX, xenografts and genetically modified models), use of these models as a preclinical
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, machine learning, bioinformatics, AI, or a related field. Strong background in machine learning and data analysis. Interest in single-cell omics, spatial data, or systems neuroscience. Intellectual
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samples with state-of-the-art technologies to profile the immune microenvironment of brain metastatic tumors upon different therapeutic interventions. We are looking for a highly motivated Ph.D. student
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, engineering, bioinformatics, machine learning, artificial intelligence) to support minimally invasive and targeted preventive and predictive medicine capable of limiting age-related functional disorders
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. Your research involves: Using different types of microscopy to describe the development progression of somatic embryogenesis in different ecotypes; Mapping QTL, eQTL (RNA-seq) and pQTL (mass-spectrometry
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objective of the project is to understand the underlying soil physical and microbial mechanisms governing changes in soil organic carbon stocks and greenhouse gas emissions under different types
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innovative employers in the region. With more than 6000 employees from 100 different countries, we are helping to build tomorrow's world every day. Through top scientific research, we push back boundaries and
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degree or equivalent in Genetics/Bioinformatics/Genomics High-level computing skills desirable; MRes advantageous IELTS 6.5 overall (if applicable) International students must cover the fee difference How