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environmental stresses, plant growth and development, biotechnology and metabolic engineering, regulation of gene expression, population genetics, genome analysis, and the development of breeding systems. Species
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student for a project at the intersection of mathematics and deep learning to work on theoretical aspects of geometric deep learning. The question whether more data and compute are sufficient to improve
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Deadline 17 Mar 2025 - 22:00 (UTC) Type of Contract Temporary Job Status Part-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number 1114--1-12395
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Microscope method and analysis will be utilised for the participating households. The doctoral thesis is anticipated to address the use of online services broadly in households, with some emphasis on
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, chemistry, engineering, and physics. The department has over 200 employees, including around 60 doctoral students. Please read more about our work at https://icm.uu.se . Project Description This PhD position
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Innovation Agency Vinnova. PhD project summary As a PhD student, you will work on the research project "Reclaimed, Redesigned, Retwinned: Digital Twins in Architectural Reuse" at DTCC. This project aligns with
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will be expanded with the recruitment of 19 academic and 7 industrial PhD students. During the course of the DDLS program more than 260 PhD students and 200 postdocs will be part of the Research School
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instrumentation Practical experience in biological sample preparation Experience in programming (Matlab, Python) for image and data analysis What you will do Plan and conduct experimental work Develop scientific
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researchers at various academic levels. The group has a strong focus on epidemiological studies that involve large datasets and often require advanced study design and analysis. The research group leads
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of four years of full-time doctoral education is required. The research group The student will join Dr. Magdalini Lourda’s team, which is part of the Systems Virology Laboratory within the Division