Sort by
Refine Your Search
-
, and datasets; often at substantial computational and environmental costs. This PhD project targets sustainable and resource-efficient machine learning with a focus on methods that reduce compute, energy
-
media and internet infrastructure computing cultures and materialities as heritage values and economies in algorithmic/data cultures social and cultural perspectives on dismantling communication networks
-
material, and produces high-quality documents. Furthermore, you have a solid understanding of numerical data and can solve numerical tasks quickly and easily. Experience in route optimization and strong
-
methods that reduce compute, energy usage, memory and storage demands, and associated carbon emissions while aiming to maintain model quality. Your work will include developing new methodologies and
-
is on fundamental limits, and development of algorithms and methods. Applications can be found in, for example, signal, image and video processing for autonomous vehicles and swarms of drones; massive
-
NAISS, the National Academic Infrastructure for Supercomputing in Sweden, provides academic users with high-performance computing resources, storage capacity, and data services. NAISS is hosted by
-
to work well in dialogue with others is expected. Further merits Experience with mixed methods research, specifically with participatory research approaches and the close collaboration with qualitative
-
courses in the Division of Logistics and Quality Management starting autumn semester of 2026 until the end of spring semester 2027. Work as a teaching assistant will include teaching, tutoring in computer
-
of performance and stability in Na- and Zn-based batteries. The work also involves data analysis, method development, and systematic documentation of research results. Furthermore, the postdoctoral researcher is
-
dynamics. Particular emphasis is placed on opinion dynamics as well as distributed problems in coordination, optimization, and learning. The research encompasses both theoretical and computational aspects