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include technique development work aimed at combining imaging techniques and data analysis to provide a more integrated picture of life processes in the context of health and disease. To be a postdoc fellow
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to innovative teaching elements. The applicant’s leadership ability is demonstrated by experience in leading interdisciplinary projects or environments. Particular attention will be paid to the applicant’s
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ecology, experience with field work, and some experience with data analysis and scientific programming in R or similar software. Consideration will also be given to good collaborative skills, drive and
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, membrane/filter, as well as different types of detectors and analysis methods. The extent to which the applicant, through their experience and skills, may complement and strengthen ongoing research
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microorganisms, and developing of spectral collection and analysis protocols that will allow this biochemical data to be effectively used to support optical microscopy-based deep-learning algorithms for species
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and approximately 20 doctoral candidates. Research in computer vision began in the mid-1980s and currently encompasses (i) Geometry and computer vision (including analysis of video, audio, radio, and
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narrative/storytelling methods, intersectional analysis, and participatory research, and committed to collaborative engagement with both academic and non-academic stakeholders. The role requires theoretical
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The Department of Statistics employs about 15 researchers, teachers, doctoral students, and other staff. We conduct research in several areas: analysis of high-dimensional data, Bayesian methods
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(lth.se). We invite applications for one to two PhD positions dedicated to developing methodologies for the automated analysis and design of first-order optimization algorithms. Such algorithms form
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. The projects combines clinical data with biological information, including multiplex staining, protein and gene expression analyses. The work includes developing and executing analysis plans, as