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Documented education and practical experience in machine learning and AI methods, demonstrated through coursework and/or scientific publications. Excellent written and spoken English skills. Strong programming
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picture recognition. Strong background in machine learning, statistical modeling, and big-data analytics. Experience with infrastructure or transportation data or traffic planning (e.g. micro-simulation
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continuum mechanics, constitutive modelling, or soft tissue modelling. You have experience or interest in compiling user-defined material. Communication skills in interdisciplinary environments
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verbal communication skills in English. Experience with cycle-level architectural simulation. You are expected to be somewhat accustomed to teaching, and to demonstrate good potential within research and
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skills in English. Experience with the use of mass spectrometry proteomics for detection and quantification of PTMs (phosphorylation is a must, glycosylation is optional). The following experience will
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decision is made Strong written and verbal communication skills in English Experience in cross-diciplinary research You are expected to be somewhat accustomed to teaching, and to demonstrate good potential
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decision is made. Demonstrated experience with constraint-based genome-scale modeling, resource allocation modeling, or other computational models of metabolism, including hands-on use of established tools
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Luleå University of Technology experiences rapid growth with world-leading expertise within several research areas. Our scientific and artistic research and education are conducted in close
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for ensuring that your application is complete according to the instructions in the ad. The application must include: CV including relevant professional experience and knowledge. Copy of diplomas and grades from
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by interdisciplinary collaboration, applied research projects, and access to advanced development, simulation, and visualisation infrastructures. Where to apply Website https://www.bth.se/english