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additional scripting language Solid knowledge of biostatistics Experience with single-cell sequencing data and preferentially with spatial omics Working in high-performance computing environments is highly
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fields. What we offer State of the art on-site high performance/GPU compute facilities A team of 30+ expert colleagues A family-friendly, green campus with on-site kindergarten Ample training
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contact both, and Your profile PhD in Information Systems, Computer/Data Science, Software Engineering, Applied Mathematics, or a related field Experience in publishing high-quality research, as
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Postdoctoral Research Associate - Human Organoid/Assembloid Models of Schizophrenia-associated Risks
. These syndromes are associated with a high risk of psychiatric disorders, especially schizophrenia. Preference will be given to applicants who have obtained a PhD in developmental neuroscience, cell biology, or
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the aim of developing innovative strategies to improve human health. HT is composed of five Centres: Health Data Science, Genomics, Computational Biology, Neurogenomics and Structural Biology. The Centres
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, or collaborating in the research activities of other living laboratories, Participating in the implementation of collaborations within research programme Desirable qualifications (beneficial): Experience with
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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
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contribute to joint research efforts within the program. · Present your work at group meetings, conferences, and in high-quality scientific publications. · Contribute to the supervision of MSc and PhD students
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. The overall goal of the project is to design a novel high temperature heat pump. You will be conducting Computational Fluid Dynamic (CFD) simulations and cycle analysis, which will be instrumental
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Post Doctoral Researcher in Digital Twins CO2-to-Protein production in collaboration between the ...
collaboration between the Department of Electrical and Computer Engineering and the Novo Nordisk Foundation CO2 research center, Aarhus University, we aim to address this opportunity by developing digital twins