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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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in multilayer electronic devices -Identifying/optimizing novel polymers and photosensitive materials for additive manufacturing -Developing femtosecond/picosecond laser-based micro-drilling and
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: detailed theoretical studies and optimization of light guidance in HCFs, characterization of fabricated HCFs (on both structural and optical transmission properties), experimental investigations of material
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and verification of computation technology for model-based analysis and optimization of process systems, in this case systems for managing stormwater in extreme situations. The work is carried out in
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Applicants must have: PhD degree obtained, doctoral thesis in Biology Completed postdoctoral training Excellent proficiency in English, both spoken and written Practical and theoretical experience in
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an individual research project, you will be responsible for setting up and evaluating data analysis, implementing models and networks, define optimal scientific protocols, and write scientific articles and
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to optimally prepare it for use in AI-driven systems and solutions. About us The Department of Computer Science and Engineering at Chalmers and University of Gothenburg in Sweden with approximately 300
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physiology of tumors, providing a platform to identify and optimize therapeutic candidates. Our group specializes in developing technologies to assess the multicellular environment within three-dimensional
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into two main areas: (1) material development and characterization to ensure optimal sensing and mechanical performance, and (2) structural evaluation of SS-FRCMs under environmental stressors such as freeze
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application no later than August 1, 2025. Project description Linear algebra expressions are evaluated in an efficient and robust way by mapping them to a carefully chosen sequence of calls to optimized