16 parallel-processing-bioinformatics-"DIFFER" positions at Lulea University of Technology in Sweden
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the research on steel recycling and processing. Within the research subject Engineering Materials, there are several research programs spanning broad areas of metallic and ceramic materials research
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triboelectric nanogenerators and thermoelectric systems, tailored to a range of temperature environments. In parallel, research also focuses on the design of earth-abundant catalysts to drive green hydrogen
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Worldwide R&D Projects. Previous experience in one or preferably more topics from these areas is considered a merit: -Multi-modal data processing for decision-making in natural environments -Terrain
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biochemical process engineering. The environment encompasses expertise in a wide range of fields within materials science, materials chemistry, mechanics, and manufacturing technology, and offers excellent
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interoperability and always-on artificial intelligence. To achieve the vision, research will focus on improving the hardware for both 6G devices and space-based satellites, developing signal processing methods
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the fields of cloud computing, computer networking and immersive systems to develop elastic and cost-efficient cloud-based AI pipeline to tackle climate change and support sustainability. Some of the tasks
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the fields of cloud computing, computer networking and immersive systems to develop elastic and cost-efficient cloud-based AI pipeline to tackle climate change and support sustainability. Some of the tasks
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will represent the group in different occasions, both in Sweden and worldwide, hence very good knowledge in English is a must. Further information Employment as a PhD student is limited to 4 years
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related subject. Good scientific skills with excellence in real life experimentation, as well as very good communication skills are considered as a strong plus. You will represent the group in different
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team of researchers in an European project. As a main topic, you will perform your research in one of these areas: -Data model translation, to enable the automatization of the engineering process