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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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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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. 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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to in paragraph 2 of article 5 of the RSE. 5.2. Candidates must submit the request and supporting documents, using digital tools, in PDF format, mandatorily, by electronic means, to the address
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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
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remote working with work on-site, according to organizational needs and the nature of the tasks involved. About the UOC A leader in e-learning, our pioneering university is a digital native with global
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recognized nationally for its commitment to access, excellence, and impact, particularly as one of the largest Hispanic-serving universities in the United States. With an enrollment of nearly 25,000 students
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subject to verification in the Register of Sex Offenders – Restricted Access Register. Website for additional job details https://www.agh.edu.pl/o-agh/praca-w-agh Work Location(s) Number of offers
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case the applicant’s scientific background shall demonstrate the ability to thoroughly develop work in the main field(s) of the tender. III. Application III.1. Submission: Applicants must access and
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will develop novel machine learning and artificial intelligence (ML/AI) methods for genomics data, especially: large-scale single-cell genomics data, high-definition spatial genomics, digital pathology