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- Computer Vision Center
- Centre de Recerca en Agrigenòmica
- Centre for Genomic Regulation
- Institut d'Investigació Biomèdica Sant Pau
- Institut d’Investigació Biomèdica de Girona Dr. Josep Trueta (IDIBGI-CERCA)
- Josep Carreras Leukaemia Research Institute (IJC)
- The Chinese Institutes for Medical Research (CIMR), Beijing
- UNIVERSIDAD POLITECNICA DE MADRID
- Universitat Pompeu Fabra
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Field
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comprehensive miRNA analysis with equipment such as thermal cyclers, spectrophotometers, and automated genetic analysers. ● Drosophila “Fly Room” IDIBGI facility: The Drosophila laboratory is a fully equipped
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, conducts research in the field of human genetic diseases characterized by a high predisposition to cancer. Many of these syndromes are caused by mutations in genes involved in DNA repair. These genes play
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development of explainable and interpretable classical and quantum deep learning algorithms - Design and development of hackathons and other collaborative methodologies to promote the control of artificial
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vision research. The position is for 3 years, starting ASAP, focused on ‘Quantum Machine Learning’, with the objective of investigating hybrid classical-quantum and quantum inspired algorithms. The tasks
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Research FieldBiological sciencesEducation LevelPhD or equivalent Specific Requirements Hold a PhD in Biomedical Sciences or a related discipline. Proven research experience in genetic engineering, molecular
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analysis, computer vision, or machine learning, with a clear interest in developing image analysis algorithms and an affinity with medical topics. Good communication and organizational skills are essential
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applied research using plant experimental model systems, crops and farm animals) make extensive use of genomic technologies and large sets of genetic and genomic data (https://www.cragenomica.es/sites
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, genetic, autoimmune, and infectious diseases. Yet practical limitations, such as donor-matching or insufficient cell number, render these therapies unfeasible or unsuccessful for many patients. Attempts
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multidisciplinary approach spans from the level of whole organisms to that of single cells, using state-of-the-art mouse genetics, multicolor “Rainbow” and Tetrachimera models, advanced imaging, flow cytometry, and
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spanning biochemistry, structural biology, cell biology, genetics, and advanced sequencing methods, we aim to answer the following questions: What are the factors and molecular mechanisms driving peptide