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Field
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of the West Midlands creative sector and the area of CreaTech would be an advantage, along with skills in qualitative and quantitative research methods. Entry Requirements: To apply for our Media and Cultural
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dataDesigning hierarchical graph‑based models to predict toxicity under uncertainty by linking molecular‑level and system‑level knowledgeAdvancing causal inference methods to predict transformation products under
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at the time of application: Applications must be formalized by sending the following documents: i) Detailed Curriculum Vitae; ii) Documents proving the academic degrees obtained and their classification* (in
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of Norway, aims to develop an efficient and scalable microbial-based bioconversion process for poultry feathers into highly digestible protein product. The position involves training through formal courses
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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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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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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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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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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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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