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portal or, if necessary, by email notification. 12. Application period: The competition is open from 08/09/2026 to 21/09/2026. 13. Method of submitting applications: Applications can be formalized through
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must prove the recognition, equivalence or registration of the doctoral degree, under the terms of the applicable legislation. This formality must be completed by the signing date of the contract. 4.1
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research unit known for its transdisciplinary orientations, including artistic research, notably audiovisual methods. The position is part of the project “Radical Communities: Transdisciplinary Approaches
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Web of Science in the required fields of knowledge; c) Have experience in the development of optimization models and methods, as well as their implementation and testing. 5. Formalization
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state-of-the-art methods generative protein design, directed evolution, next gen sequencing, and laboratory automation to develop B12-dependent enzymes or artificial metalloenzymes containing different
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mixed-methods analysis plans to effectively blend qualitative and quantitative data using established mixed-method approaches · Design and implement multiple method analysis plans when formal
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. Various teaching activities in your field of expertise may take up to 20% of your time. Where to apply Website https://www.academictransfer.com/en/jobs/363723/phd-position-on-hermetic-packag… Requirements
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computational methods with 9-month academic appointments to begin in Fall 2027. Associate Professor and Professor candidates will be considered for tenure review upon hire. We seek applicants whose research
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and automata, and the interaction between formal methods and artificial intelligence. We welcome candidates interested in topics ranging from foundational theory to the development and evaluation
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 11 hours ago
and build novel data resources and statistical methods to enhance and improve clinical data science, and (3) create curricula and training resources for a clinical data science education program at UNC