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interest in data analysis, modelling, statistics, and machine learning. Experience in spatial data analysis (GIS), scientific programming (Python, R, or equivalent), or artificial intelligence will be
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primarily computational, working with long-read, short-read, single-cell and spatial transcriptomic data. The successful candidate will develop reproducible analysis workflows; analyse long-read RNA and DNA
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The Mathematical Institute of Leiden University and the Centre for Mathematical Sciences of Lund University have a position for a PhD candidate to join the project "Analysis of Inhomogeneous Wave
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Group focuses on biodiversity research, population ecology, and spatial ecology, with the aim of generating scientific knowledge useful for conservation and the sustainable management of agricultural
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for: Analysis of bulk and single cell RNA-sequencing, spatial transcriptomics, and proteomics datasets Integration of experimental model data with public and clinical datasets Statistical modeling and survival
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The University of Chicago Academic Jobs AI-Enabled Biology and Medicine - A Division-wide, Open-rank Faculty Search #BSD043 Biological Sciences Division Position Type: Faculty Salary Range: PhD
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statistical and simulation-based methods for estimating design floods for reservoirs and dams with return periods of up to 10.000 years. The tasks include adapting extreme value statistics methods using spatial
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submission portal are here: https://www.umu.se/en/work-with-us/open-positions/phd-position-in-environmental-science-with-focus-on-marine-observation-system-resilience_943599/ Application deadline: 16 August
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assays, and statistical and computational biology to define mechanisms of cellular and humoral immunity to the transplanted organ and how alloimmunity is suppressed in patients receiving donor
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. You can address your application to Tatiana Filatova. We will contact shortlisted candidates for a two- … Where to apply Website https://www.academictransfer.com/en/jobs/362693/phd-position-on-assessing