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Field
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the faculty during the first months of the appointment. The candidate is expected to complete a coursework component of 30 ECTS as part of the formal PhD training. Experience of terrestrial field work and
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experimentally driven (approximately 70/30 wet lab to modeling) and will include: Design and fabrication of 3D-printed brain tissue models with tunable transport properties Development of experimental methods
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application! Your work assignments We are looking for a PhD student to work on the development of novel spatio-temporal machine learning methods. Our world is inherently spatio-temporal, i.e. physical processes
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epidemiological methods and statistics equivalent to that which may be gained in a degree programme like MSE, MSc Epidemiology, MPH, or MSAE. In individual cases, when such a formal degree is lacking, successfully
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4: “Creative Use of AI in Education ”. The candidate is expected to contribute to answering work package 4’s research questions by exploring how AI is, or can be, integrated into formal, non-formal
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with mixed-methods designs or basic quantitative techniques is not a formal requirement, but would be considered an advantage. Research capacity and motivation: Proven ability to carry out independent
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opportunities of spatial hot-electron engineering across top-down and bottom-up methods. Moreover, the plasmon-assisted photopolymerization and photocurrent measurements will be performed in collaboration with
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, and subparagraph e) of paragraph 2 of Article 4 of Decree-Law No. 60/2018 of 3 August, and any formalities established therein must be completed by the date of hiring. 9.2. Special Admission
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quantitative research methods. A very good command of written and spoken English. Specific Requirements The following qualifications would be considered an asset: Experience with systematic reviews, clinical
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the flexibility of neural methods. If successful, the work has the potential to advance applications such as automated theorem proving, knowledge-graph inference, and causal analysis. The Department of Computing