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have been out of work for a period of time. At NTNU we want to increase the proportion of women in scientific positions. We have a number of measures to promote equality. Salary and conditions In
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prospective sustainability assessments of pharmaceutical manufacturing via data-driven and hybrid methods. The PhD student will be appointed within the framework of the European project PHARMECO (Advancing Safe
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on the remit of the Department here on our homepage. The fixed term is based on the German Academic Fixed-Term Contract Act. Tasks: The assessment of mixtures and their toxicity remains a regulatory and
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group interaction studies that enable us to assess whether the manipulation in terms of (a) category salience or (b) threat of the status quo results in adaptations of thoughts and behavior. In close
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understanding of the degradation phenomenon of cladding in storage conditions, environment assessment of storage sites, pond chemistry challenges, novel ways of demonstrating structural integrity, addressing
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, to quantify the spatiotemporal flux of natural hydrogen in distinct reservoirs ranging in age from Mesoproterozoic to Cenozoic, discriminate between potential hydrogen generation mechanisms, and assess
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PhD position within the project "What's wrong? Ancient corrections in Greek papyri from Egypt" (AnCo
, and connecting scholars from different fields and backgrounds. Terms and conditions PhD project, 4 years (1.0 FTE, 38 hrs per week; alternatively, the position can be 0.8 FTE for 5 years), starting date
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assessment. Read about shortlisting at SDU. Interviews and tests may be part of the overall evaluation. Read about the Assessment and selection process . Conditions of enrollment/employment Appointment as a
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written and spoken English. Fluent in a computer coding language (python or Matlab or C++ or etc). The Scientific environment We offer creative and stimulating working conditions in a dynamic and
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, embedded intelligence, and adaptive cyber-physical systems that operate safely under uncertainty and dynamic conditions. This PhD at Cranfield University explores the development of resilient, AI-enabled