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microdroplets, microfluidic channels and real porous building materials (limestone and sandstone) under controlled environmental cycling that simulates realistic heritage environments. Using advanced imaging and
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modelling, CFD modelling or BIM modelling for built environment applications is preferred. Knowledge in test instrumentation, PLC programming and cloud-based/IoT applications is preferred. Prior experience in
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nationally. Create communication templates, presentations, press releases and other materials as models for state comprehensive cancer control programs to adapt. Manage and update the Technical Assistance
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related subject, as well as excellent command of spoken and written English. Selection and ranking of applicants will be based on their ability to benefit from postgraduate education. Applicants will be
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Grenoble. You will work in a multidisciplinary environment and interact with soft matter physicists and cell biologists in the lab. While the project is based in Grenoble, secondments in other laboratories
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that directly improve quality, throughput, and process stability. You will build, test and deploy data-driven (AI) models for the control of the robotic manufacturing process based on actionable insights
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90 are PhD students, and about 40 % of all employees are internationals. In total, it has more than 600 students in its BSc and MSc programs, which are based on AAU's problem-based learning model
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patterns, least privilege model, role-based access, and federated identities. Experience with common IAM protocols such as SAML, CAS, JWT, and OAuth2. Experience with Linux command line interface, including
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in mouse models of infection. In addition, will be responsible for the studies involved in evaluating new candidate host-directed therapies for immunomodulatory activity that result in better control
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