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collaborative, high-performing and purpose-driven team, you will play a leading role in designing and delivering innovative research that advances our understanding of immune homeostasis and pathogen responses
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project - “Adaptive interleaves for sustainable, out-of-autoclave manufacturing of high-performance CFRP structures in large aircraft”. Qualifications Applicants should have a doctoral degree in Materials
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• Develop comprehensive simulation environments and establish testing protocols • Conduct in-depth analysis and optimization of navigation system performance for energy consumption and accuracy
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dependable and high-performing, also in hectic periods You prefer being present at work and contribute actively to the professional and social environment you are part of Employment in the position is based
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Materials Design - Develop and apply machine learning and AI models (e.g., ML interatomic potentials, generative design, reinforcement learning) to predict and design materials. - Perform first-principles and
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in-house high-throughput and Big Data facilities for RNA-seq, scRNA-seq, microarray analysis, and bioinformatics including high-performance computation. You will participate in the research project
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such as biomedical implants. The high density of the films brings performance enhancements in semiconductor wafer packaging, photovoltaic cell layers (absorber, back and front contacts) and antibacterial
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learning model to realize performance optimization afterward. Key Responsibilities: Design and develop high-throughput synthesis platform for realizing rapid and smooth synthesis of disordered crystalline
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a Research Infrastructure? No Offer Description Empowering First Responders to Manage Heat Stress Risk Academic Level B, Salary Range $116,403 pa - $137,865 pa plus 17% Super Full Time, Fixed Term
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regulations. The group is embedded in the multidisciplinary environment of Tampere University, with access to strong local expertise and infrastructure in toxicology, high-performance computing, mass