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- Fundació Hospital Universitari Vall d'Hebron- Institut de recerca
- IMDEA Networks Institute
- Autonomous University of Madrid (Universidad Autónoma de Madrid)
- Centre de Recerca en Agrigenòmica
- Centro de Investigaciones sobre Desertificación (CIDE, CSIC-UV-GVA)
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. The project will use quantitative mitochondrial-tracing approaches, including a recently established HiBiT-based platform, live-cell imaging, CRISPR-engineered cancer models and tumour–stromal co-culture
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Network ReDiLEEP (https://redileep.eu/ ). ReDiLEEP brings together leading universities, research institutes, and non-academic partners across Europe and beyond to advance response diversity research and
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therapy for SMA was nusinersen, an antisense oligonucleotide (ASO) that promotes exon 7 inclusion in SMN2 transcripts, thereby increasing functional SMN protein levels. Although current therapies have
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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 (http://biennialreport2018-2019
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quantify the impact of nonlinearity on flow and transportin confined porous media. We put particular emphasis on three sources of nonlinearity: non-Newtonian rheology, large driving rates leading to dynamic
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Neuroimmunology Research Group: https://vhir.vallhebron.com/ca/recerca/neuroimmunologia-clinica · Cemcat : https://www.cem-cat.org The successful candidate will work on the project “Deciphering the Pathogenic
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murine models, aiming to characterize the efficacy and safety of the CAR-T constructs developed against rhabdoid tumor cells. Where to apply Website https://www.uam.es/uam/investigacion/ofertas-empleo
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The tasks to be carried out by the hired individual include: Behavioral experiments to assess itch in CPT1C knockout models Electrophysiological recordings (current-clamp and voltage-clamp) from neuronal
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Description The main tasks to be carried out by the selected candidate will be the following: ● Develop new methods for the uncertainty quantification of non-linear statistical models using the 'online
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deployed. The research will therefore combine qualitative fieldwork with computational modelling to develop approaches that operate under uncertainty, adapt as the landscape changes, and generalise beyond