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education for sustainable forest and agricultural production and efficient biodiversity conservation. Our research on populations, communities and ecosystems are the basis for analyses of the effects
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employed to translate spatial gene expression profiles from healthy tissues to disease states, and vice versa. This capability will allow researchers to simulate the effects of drug treatments on spatially
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that may remove such constraints, leading to a fundamental challenge: the potential co-existence of genetically distinct clones, each supporting multiple stable cancer cell states. To understand the effect
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the different organelles. Another approach is to use Monte Carlo simulations to explore which gene regulatory network architectures are necessary for robust regulation and effective communication between
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network analysis, or other digital research methods. Excellent ability to communicate effectively in spoken and written English. Ability to work independently as well as actively contribute
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and willingness to contribute to a positive work environment Motivation to complete a doctoral education Clear and effective communication skills, both oral and written All employees at MDU are expected
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, with focus on their effects on gene expression Interpretation of bioinformatical results, figure preparation Synthesizing the data for publication The candidate can potentially contribute to the teaching
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at compile-time, as is often the case, then the problem is further complicated by the fact that no single mapping is optimal for all combinations of matrix sizes. As a consequence, any code generated
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, and explore whether and under what conditions changes can occur as well as the cost-effectiveness and environmental effects of such changes. Research tools include techno-economic assessments
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Transformation Centre (MMTC) New technologies, media, and its effects on society, industries, and customer interactions. This includes legacy media, platform industries and other stakeholders involved in