102 parallel-processing-bioinformatics positions at KTH Royal Institute of Technology in Sweden
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mandatory requirement for English equivalent to English B/6. Selection In order to succeed as a doctoral student at KTH you need to be goal oriented and persevering in your work. During the selection process
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In order to succeed as a doctoral student at KTH you need to be goal oriented and persevering in your work. During the selection process, candidates will be assessed upon their ability
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. Selection In order to succeed as a doctoral student at KTH you need to be goal oriented and persevering in your work. During the selection process, candidates will be assessed upon their ability
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. During the selection process, candidates will be assessed upon their ability to: independently pursue his or her work collaborate with others, have a professional approach and analyze and work with complex
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semantic representation models for sign language. Such representations are key to allowing SL to be efficiently processed by large language models (LLMs), and will lead to machine learning models that can
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23 Oct 2025 Job Information Organisation/Company KTH Royal Institute of Technology Research Field Computer science » Computer architecture Computer science » Other Environmental science » Earth
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production. The ACCELERATE project develops safe, sustainable technologies for CO₂ capture and conversion, aiming to design energy-efficient processes, scalable catalysts, and high-value chemical synthesis
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in processing of soft materials. Suitable background for this position is a doctoral degree in surface chemistry, organic chemistry or polymer chemistry, polymer technology, macromolecular materials
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position as a postdoctoral fellow is a time-limited qualified appointment focusing mainly on research, intended as a first career step after a dissertation. Others For information about processing of
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. This project aims to develop innovative solutions for the seamless integration and reliable operation of large-scale converter-interfaced renewable energy systems by leveraging AI-driven techniques. The research