79 parallel-processing-bioinformatics positions at Chalmers University of Technology in Sweden
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work spans the entire production chain, from innovative material design and advanced processes to the characterization of materials and components. About the research project The project is an EU-level
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Science, Bioinformatics, Machine Learning or related fields. You need excellent programming skills and an ability to design and implement machine learning-based projects. You need a strong motivation to pursue independent
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, Computer Science, Bioinformatics, Machine Learning or related fields. You need excellent programming skills and an ability to design and implement machine learning-based projects. You need a strong
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the interface of biology and medicine, materials science, renewable energy, to chemical engineering processing, material recycling, nuclear chemistry, as well as theory and modelling. The division of Energy and
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creative, collaborative, and equitable work environment. Our strength lies in utilising and combining experimental, digital, and qualitative approaches to develop solutions and processes. The division
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platforms based on bosonic modes, also called CV modes, such as microwave harmonic oscillators used to process quantum information. The project provides a rare chance to develop new theoretical and
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Manufacturing - Metal ) that is focused on material and process development for powder-based metal AM. The centre is hosted by the Division of Materials and Manufacture at the Department of Industrial and
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process, advanced analytical techniques will be applied, including mass spectrometry imaging, chromatography tandem mass spectrometry, and scanning electron microscopy (SEM), in combination with
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partners. The research is highly applied and directly connected to future textile products and processes. Who we are looking for Mandatory requirements: A doctoral degree or an equivalent foreign degree in
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on the application of AGV-/AMR-systems from a logistics perspective. The project involves close cooperation with several companies – both manufacturing companies, looking to develop their in-plant logistics processes