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made in accordance with NTNUs guidelines for recruitment positions for general criteria for the position. Preferred selection criteria Solid understanding of control theory, including classical and
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PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
processing data streams, with theories and methods for planning and logistics. The PhD research will focus on AI-enhanced planning of operations in shipbuilding supply chains, examining how AI techniques can
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theory-driven research with a clear eye for practical implications and policy recommendations. A team player with strong communication skills. Excellent academic writing skills (English). Dutch language
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resources, public services, and guarantees of rights — and where they turn to repression instead. GRID combines a new cross-national dataset coding governments’ de jure and de facto responses since 1989
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, for example, Portuguese, Dutch, French, English, Spanish, and/or Danish) Prior experience with archival/paleographic research, qualitative coding, corpus-based text analysis Familiarity with intersectionality
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Our theory group is a worldwide leader in studying the statistical physics of living systems. We
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the position of PhD Candidate, code 1017, your gross salary will normally be NOK 580 000,-per annum depending on qualifications and seniority. A 2% statutory contribution to the State Pension Fund is deducted
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highly motivated for theory-driven, foundational research Show persistence and creativity when tackling technically challenging problems Work independently while collaborating effectively in
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, linear algebra, probability theory, (Bayesian) statistics, optimization and elementary graph theory Familiar with machine learning and deep learning Programming experience (Python or Julia) and their
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theories can describe how exchange correlations stabilize magnetically ordered ground states, they do not capture the non-equilibrium kinetics of ordering, nor the ultimate timescale on which order emerges