29 parallel-processing-bioinformatics-"Multiple" Postdoctoral positions at KTH Royal Institute of Technology in Sweden
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for a two year postdoctoral position to characterize the statistics of brain activity and relate it to the underlying network properties. Recent data has revealed the multiple ways brain activity
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potentially involving techno-economic analysis and AI-driven models for optimizing design and operation. Activities within project management and co-supervision of graduate students are also foreseen
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postdoctoral to join our group working on thermal catalytic conversion of CO₂ to solid carbon. The project aims to develop efficient and electrified processes that transform CO₂ into valuable carbon materials
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, high frequency signal processing. Good communication and collaborative skills, capability to work in a team and independently. Motivation and dedication to research work is a very strong merit. Teaching
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. Others For information about processing of personal data in the recruitment process. It may be the case that a position at KTH is classified as a security-sensitive role in accordance with the Protective
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first career step after a dissertation. Others For information about processing of personal data in the recruitment process. It may be the case that a position at KTH is classified as a security
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the Advanced Optical Bio-Imaging Laboratory (http://www.testalab.org ) in Stockholm as a Research engineer. The position focuses on the investigation of different cellular process with super-resolution
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step after a dissertation. Others For information about processing of personal data in the recruitment process. It may be the case that a position at KTH is classified as a security-sensitive role in
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on research, intended as a first career step after a dissertation. Others For information about processing of personal data in the recruitment process. It may be the case that a position at KTH is classified
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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