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FUNDACIO INSTITUT D'INVESTIGACIO EN CIENCIES DE LA SALUT GERMANS TRIAS I PUJOL | Spain | about 1 month ago
samples. MAIN RESPONSIBILITIES Analyze spatial transcriptomics and multi-omics datasets from cancer-patient samples. Develop and optimize bioinformatics pipelines. Integrate and interpret data to identify
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are expected to come out from the project. The project involves: - the optimization of the formation of biocompatible nanocapsules loaded with active materials, - Morphological and structural characterization
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dynamic, uncertain worlds. Multi-Objective & Black-Box Optimization: Real-world problems rarely have a single, simple objective. We research methods to navigate complex trade-offs (e.g., performance vs
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and monitoring of both software applications and LLM/ML models. The MLOps engineer will develop, maintain and optimize the LT Lab’s infrastructure and pipelines related to LLM and ML models to ensure
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-146347OA-I00 Job title: A digital twin for the optimal monitoring and radiotherapy of prostate cancer based on personalized computational forecasts Research line / Scientific-technical services: Digital
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position within a Research Infrastructure? No Offer Description Mission: Perform the optimization and comparative evaluation of transmitter/receiver systems with orbital angular momentum (OAM) applied
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of the secondary lobes generated with a Voronoi algorithm. Include and optimize the model of lesion dynamics including encapsulation, infection and endogenous reinfection through the bronchial tree. Develop virtual
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results with the MLA of the products and the food. Optimize separation/mulching processes. Write technical and management reports on the previously indicated tasks and those linked to research projects and
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projects, as well as developing and optimizing harmonized single-cell RNA-seq pipelines. Responsibilities: Develop and implement robust pipelines for single-cell RNA-seq data processing Assist in
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workflow that integrates in silico, in vitro, and in vivo studies, with the ultimate goal of advancing promising candidates toward clinical application. Main tasks: - Perform and optimize cell-based