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science, physics, or a similar field. Qualifications, skills and abilities: Experience in ice sheet modelling is required. Experience in working with Linux/Unix environments and with high level programming
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tool in such applications, but the computational cost of producing ensembles at high enough resolution and with enough members to adequately sample internal variability and capture rare events is a
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teaching duties. The position is connected to the NordForsk-funded ARCHAIC project (Sustainable and Resilient Communities in the High Arctic in the Age of Climate Change), a multidisciplinary project aimed
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peer-reviewed journals. Advantageous Experience working with large (administrative) datasets. Strong enthusiasm for conducting high-quality research. The candidate is expected to show a high level of
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innovation programme under the Marie SkłodowskaCurie Grant Agreement No. 101126560. The Lead AI programme offers high-quality inter- and transdisciplinary research and training opportunities in the area of
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) , Department of Biostatistics, Institute of Basic Medical Sciences (IMB), University of Oslo (UiO), Norway. The candidate shall take part in the research group on “Statistical models for high-dimensional and
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Innovation Council (EIC) under Horizon Europe’s EIC Pathfinder Open program. EIC Pathfinder supports bold explorations of radically new technologies, financing high-risk, high-gain interdisciplinary
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electrophysiology and sleep) and (ii) in spatial transcriptomics and high-resolution imaging. The selected candidate will work at the intersection of molecular biology and systems neuroscience, gaining a unique
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(with a focus on electrophysiology and sleep) and (ii) in spatial transcriptomics and high-resolution imaging. The selected candidate will work at the intersection of molecular biology and systems
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experience with statistical genetics. Hands-on experience with high performance computing and big data analysis. Experience with handling of large-scale human genotype data (quality control, and polygenic