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to learn the required techniques. The following are considered advantageous: Experience with different model plants, including Arabidopsis thaliana. Familiarity with cell wall integrity signalling pathways
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, cell assembly, characterization, modeling to scaled-up manufacturing. The 2-year postdoc project Micromechanical modelling and mechanical characterisation of contact, interfaces and fracture in solid
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Do you want to contribute to improving human health? Description of the research group Alpha Cell is a new SciLifeLab strategic program aimed at building the first molecular-level computational
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KTH Royal Institute of Technology, School of Engineering Sciences in Chemistry, Biotechnology and Health Job description Tissue organization is achieved by the genome encoding both cell type
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infrastructure, mobility demand, and power grid operations. On top of this environment, a deep-learning-based learning will be developed to enable decentralized and coordinated decisions on EV user charging
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candidates whose expertise falls within one or more of the following areas: computational and mathematical modeling, statistical modeling, machine learning, network science, bioinformatics, applied mathematics
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expertise in advanced MIP microspectroscopy and its application in cell and environmental studies Participate in method development of quantitative MIP protocols for determination of the target molecule mass
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doctoral degree or an equivalent foreign degree. This eligibility requirement must be met no later than the time the employment decision is made. Research expertise in genomics, molecular or cell biology
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Do you want to contribute to the future of AI-driven electric transport systems? Join our research group to develop advanced machine learning methods for electromobility, focusing on energy-aware
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chain, ranging from synthesis, cell assembly, characterization, modeling to scaled-up manufacturing. The 2-year postdoctoral project Machine Learning-based Electro-Chemo-Mechanical Estimation and Control