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are experts in systems science; we develop integrated solutions from care of the elderly to space robotics. We are now looking for a Postdoctoral researcher in quantum algorithms and optimization. Are you as
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intelligence, big data frameworks, bioinformatics, data analysis, data science, discrete and machine learning algorithms, distributed, intelligent, and interactive systems, networks, security, and software and
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across all areas in Computer Science, including Algorithms and theory Bioinformatics and digital health Computing systems and networks Cybersecurity Human-computer interaction Machine learning and
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the Finnish Center of Excellence in Quantum Materials . Your role and goals The research will focus on developing and using machine learning algorithms to discover novel materials and to build generative models
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haplogroups (Y-chromosomes and mitochondrial DNA) in Finland using both ancient and modern DNA. Analytical approaches will include population genetic and evolutionary modelling techniques. The employment period
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endothelial immunomodulation in homeostasis, inflammation and tumorigenesis using in vivo genetic mouse models, advanced live and intravital imaging, engineered microchip models, primary cell co-culture systems
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the mechanisms and therapeutic potential of lymphatic endothelial immunomodulation in homeostasis, inflammation and tumorigenesis using in vivo genetic mouse models, advanced live and intravital imaging
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and museomics Strong bioinformatics skills Proficiency in command-line scripting and programming Knowledge of phylogenomics and population genetics Why conduct a postdoctoral project at the University
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research group. The selected candidate will contribute to two projects: Investigation of genetic predisposition to medications-induced side effects In this project knowledge of FinnGen study large-scale
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-throughput imaging or microscopy-linked phenotyping; quantitative image analysis Robust experimental QC and data/metadata handling across many samples and conditions Track C: Evo-devo / functional genetics