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Field
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-studies/. Background and description of tasks PhD project 1: The PhD project involves research using invertebrate model systems to investigate the mechanisms by which potential host genome editing processes
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of Informatics (Faculty of Social Sciences), which contributes perspectives on human-computer interaction, information systems, digital practices, and socio-technical change, with a focus on how digital
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from mass spectrometry analyses. These models will provide a more realistic picture of how chemicals behave in different tissues across zebrafish life stages, from embryos to adults. The project is
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modalities, and subsequent study of the effects on biological systems. The group has full access to state-of-the-art laboratories for in vitro, ex vivo and in vivo biological system read-outs including imaging
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of models of clouds and climate at Lund. A new climate model is being developed to represent cloud processes with more realism in the project. The post will involve global modeling with this new climate
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dynamics and heat transfer research. Programming skills in Python and MATLAB, particularly in machine learning, data analysis, and image processing. Experience working in Linux environments. Ability
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application! We are looking for a PhD student in Statistics with placement at the Division of Statistics and Machine Learning, Department of Computer and Information Science. Your work assignments As a PhD
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inherently spatio-temporal, i.e. physical processes around us evolve over both time and space, making spatio-temporal processes and data omnipresent in science and technology, with applications ranging from
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processes with more realism in the project. The post will involve global modeling with this new climate model at Lund to investigate mechanisms for the effect from ice nucleating aerosols on clouds and
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within a diverse team. About the position The position provides you with the opportunity to pursue PhD studies in Computing Science for four years, with the goal of achieving the degree of Doctor in