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Field
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and analysis will be a major and exciting part of the role, providing an opportunity to work at the intersection of experimental biology and computational science. The position is full-time research
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computational imaging specialist – experience in quantitative image analysis, scattering modeling, signal processing, machine learning, or neural-network-based data interpretation. The project is closely
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imaging specialist – experience in quantitative image analysis, scattering modeling, signal processing, machine learning, or neural-network-based data interpretation. The project is closely connected
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platforms, security analysis, adversarial AI attacks and defences, intrusion detection, load management in mobile edge networks, or denial-of-service detection are considered as a merit. Earlier experience in
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, research visits, and other activities to promote a strong multi-disciplinary and international network between PhD students, postdocs, researchers and industry. Work duties: The project focuses
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from control theory, machine learning, optimization, and network science, spanning diverse application domains such as energy systems, biomedical systems, neuroscience, and safety and security
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Biology, Department of Life Sciences, to develop intelligent systems that integrate metabolic modeling, omics analysis, and automated literature mining. About us The Department of Life Sciences conducts
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science. You are expected to actively participate in the department’s knowledge environments and networks, both internally and externally. You will be part of an international research project focusing
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(Stockholm, Sweden) and the candidate will benefit from a strong (inter-)national network of collaborators in protease biology and computational proteomics. The successful candidate for this position will join
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Centre for Sustainability Studies (LUCSUS), Sweden. The successful candidate will be part of the project “Social consequences of digitalisation of agriculture: Carbon farming actor networks and impacts