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committee panel. To validate this request, you must validate the form that is accessed at the URL: https://seleccio.uab.cat Any application that is not submitted in this way will not be included in
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on human-machine trust, digital identity, and biometric security in financial and governmental ecosystems.The researcher will be a key member of the team and be responsible for and coordinate research, labs
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.PEX and DOI identifier https://doi.org/10.54499/2024.15642.PEX ), financed by Fundação para a Ciência e a Tecnologia, I.P. through national funds under the 2024 Call for Exploratory Projects in All
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Department, visit https://uni-tuebingen.de/en/faculties/faculty-of-humanities/departments/department-of-history/institutes/modern-history/homepage/. The position is funded for 2,5 years. The salary will be
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support for early-career researchers, including mentorship, administrative assistance, access to computational resources, conference funding, and opportunities to collaborate with other research groups and
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. 66/2018 , of August 16th and the Ministerial Order nr. 33/2019 , of January 25th. The presentation of such Recognition is mandatory for contract signature. More information can be obtained in: https
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of Technology , we conduct advanced research in data-driven nutrition, health, and food science. With large-scale diet and health data, omics data, biomarkers, digital food and health services, we establish
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electrical circuit (digital twin) whose parameters can be continuously adapted with the aging of the batteries. · Establish the links between the parameters of this digital twin, performance and
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SD-26045-RESEARCHER IN ADVANCED PLASMA-ASSISTED DEPOSITION PROCESS DEVELOPMENT FOR CATALYTIC THIN...
science 32 days’ paid annual leave, 11 public holidays, 13-month salary, statutory health insurance Flexible working hours, home working policy and access to Digital lunch vouchers Apply online Your
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research in data-driven nutrition, health, and food science. With large-scale diet and health data, omics data, biomarkers, digital food and health services, we establish predictive models for evaluation