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to apply Website https://www.academictransfer.com/en/jobs/359530/phd-position-at-the-interface-o… Requirements Additional Information Website for additional job details https://www.academictransfer.com
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Context: Recent technological developments have expanded
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-expert audiences. Subject areas : Accounting, Business, Computer Science, E Business, Economics, Environmental Sciences, Finance, Hospitality, Human Resource Management, Information Services, Management
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 2 days ago
according to the candidate's qualifications and experience. 6. Obligatory requirements for admission PhD degree with experience in computational biology, bioinformatics biomedical AI or related areas; Strong
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Learning Sciences, Computer Science, Human-Computer Interaction, Informatics, Educational Measurement and Statistics, Educational Psychology, or a related field. Required Qualifications: Relevant experience
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(Investigating how climate change may increase risk of zoonotic spillover by changing human and wildlife movement, stress, and behavior). This position requires a PhD in ecology, disease ecology, epidemiology
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The Center for Molecular Bioengineering (B CUBE) is an interdisciplinary research center focusing on three research dimensions: Bio-prospecting, BioNano Tools, and Biomimetic Materials (see https
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-class research programme at the interface of human genomics, computational biology and evolutionary population genetics to understand the molecular and evolutionary processes that generate diversity
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sequence to support of Executive PhD programs Grow our MEd program into an online offering that is the premier offering in the state in educational leadership Undertake student recruitment efforts
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PhD project involves interdisciplinary research at the interface of computer science and mathematics and addresses a complex, coupled inverse problem with explicit uncertainty quantification. Research