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analyzing whole organism models (zebrafish and mouse) to dissect the pathophysiology of a recently identified rare pediatric neurometabolic disorder. The approach involves mainly deep longitudinal phenotyping
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health and translational medicine using a "bench-to-bedside" approach. By harmonising and analysing diverse biomedical data, while focusing on the secure data processing and predictive modelling, we aim
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found on hpc.uni.lu . The activities include classical HPC applications such as simulation and modeling, but also artificial intelligence and machine learning, bridging computational science, with data
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live in. Your role The CLAIM and ICR groups are seeking an outstanding postdoc to strengthen their research teams with expertise in Large Language Models, more precisely in Agentive Reasoning and LLM
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modelling of complex plasma processes, contributing significantly to fields such as fusion reactor design, material deposition technologies, and space propulsion systems. The project brings together a
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academic and professional qualifications Proven research experience in the field of modelling and analysis of biological networks Solid foundation in mathematics and algorithmic design Strong programming
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under the guidance of Prof. Ivan Nourdin. Your role Conduct research in machine learning, deep learning, and probabilistic modeling, with a focus on real-world applications Disseminate research findings
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to conduct proof-of-principle research and characterize NPC pathway components in mouse models in the context of neurological disorders and cancer. How to apply: Applicants should hold a PhD in biology
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. Cutting-edge technologies will be used, including single-cell omics, high-dimensional imaging (CycIF, iDISCO), genomic editing, and functional validation in patient-derived brain organoids and murine models
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. • Pr. Leif A. Eriksson, molecular modeling of protein complexes, University of Gothenburg, Sweden. Eligibility criteria – The fellowship obtained is part of the BIENVENÜE international post-doctoral