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of study at all levels. Our subject areas include hardware, algorithms, visual computing, AI, databases, software engineering, information systems, learning technology, HCI, CSCW, IT operations and applied
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include, but are not limited to, in vitro culture of primary human cells and cell lines, organ-on-chip models, molecular biology, diverse immunological assays, advanced flow cytometry, fluorescence
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. The academic environment possesses expertise in molecular biology, developmental biology, reproductive biology, and bioinformatics. The PhD candidate will be supervised by an interdisciplinary team
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; mathematical modelling of cancer; probabilistic modelling and Bayesian inference, stochastic algorithms and simulation-based inference; causal inference and time-to-event analysis; and statistical machine
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detection and classification algorithms using measured and/or simulated data, such as current pulses from cable faults (breakdown), partial discharges and external noise. In addition to being part of
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of structures, facilitating a form-finding process driven by FEM analysis. Training deep learning algorithms to suggest multiple structural concepts tailored to specific boundary conditions. Expanding FEM
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qualifications Masters degree in a relavent scientific field, such as biology, ecology, or natural resource management Experience conducting field work Basic statistical competence The following experiences and
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Adrian Svendsen Bensvik 6th August 2025 Languages English English English PhD fellowship - Experimental approaches for better breeding microalgae Apply for this job See advertisement About the position Faculty of Bioscience and Aquaculture, Nord University, Norway, invites applications from...
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ecology with an emphasis on conservation biology. Your immediate leader will be the Head of Department. About the project The team of supervisors will consist of Ass. Prof. Kristine Bakke Westergaard (main
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of theoretical and applied IT programmes of study at all levels. Our subject areas include hardware, algorithms, visual computing, AI, databases, software engineering, information systems, learning