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, localization, and sensing, with a focus on developing next-generation multiple-antenna systems while optimizing overall system performance. As a doctoral student, you devote most of your time to doctoral studies
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Experience with performing laboratory experiments Ability to work with large data sets (> 500 GB) Numerical modelling Main responsibilities Independent research and research training (80% of time) Support for
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admitted as a PhD student and employed by Lund University. In addition to following the curriculum and attending relevant doctoral courses, your responsibilities will include: performing bioinformatic
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you are part in. You are expected to perform both experimental and theoretical work within your research studies as well as communicate your results at national and international conferences and in
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/WIFORCE/en ), was created. We are looking for an industrial PhD student to study population biology in boreal ectomycorrhizal forest fungi and their conservation. The doctoral studies will be performed
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the Swedish Center for Sustainable Hydropower (SVC). SVC promotes collaborative research across universities and industry to support the future of hydropower. Simulations will be performed using resources from
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decision support systems, validated against field measurements. The doctoral studies will be performed at the Department of Forest Ecology and Management at SLU in Umeå. The PhD student will have a permanent
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findings are expected to be published in high-ranking journals in the field. *for students with an education earned outside of Sweden, a 4-year Bachelor’s degree is accepted. What you will do Perform
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samples from ca 10 individuals of each sex common garden populations of these, and are now extracting these samples. The researcher will work in a collaborative lab performing analyses of gene expression
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project The project is a unique opportunity to work on fundamental theoretical questions in ML, and at the same time make an impact in a real-world application. Our goal is to describe the performance of ML