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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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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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, 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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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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, 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
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presentation of results at international conferences and publication in peer-reviewed journals are also expected About you: Advanced knowledge in control systems and feedback theory Programming skills in high
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join a highly interdisciplinary project at the interface of simulations and theory of porous materials, peptide self-assembly and adaptive materials. You will have access to state of the art
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candidate is expected to: Demonstrate analytical ability and intellectual curiosity Be highly motivated for theory-driven, foundational research Show persistence and creativity when tackling technically
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at international conferences and prepare scientific publications Your Profile Master’s degree in physics or a closely related subject Solid background in quantum many-body theory and/or statistical physics