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, Statistics, or a related discipline. Strong interest in theoretical and computational ecology, especially in questions related to ecosystem stability, resilience, biodiversity, and ecological networks. Good
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-requirements ). Possess good academic writing and presentation skills. Have an excellent academic track record. Job Description Conduct personal (applied) research in the area of hydrothermal carbonization with
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position is part of the national research programme DDLS. Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels
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welfare are monitored on farms. However, many current monitoring systems rely primarily on visual or activity-based sensors, meaning important behavioural and physiological signals may be missed. Sound
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employees and 43,000 students work to create knowledge for a better world. You will find more information about working at NTNU and the application process here. ... (Video unable to load from YouTube. Accept
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, please contact jonte.hance@newcastle.ac.uk. We are committed to making the process accessible to everyone and can provide additional support to adjustments to meet your needs. To apply, please submit
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Description Audio Stimulation in the Digital Environment: Applying Consumer Neuroscience to Examine the Influence of Auditory Cues on Consumer Behaviour Supervisor: doc. Ing. Jakub Berčík, PhD. Workplace
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knowledge for a better world. You will find more information about working at NTNU and the application process here. About the position Gas storage in solid materials is of great importance, which drives fast
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of Biosciences, Department of Animal and Aquacultural science. The main goal of the project is to identify reliable behavioral and physiological markers that signal good welfare and robust gut–brain health
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throughout the PhD process to engage in research, participate in local, national and international meetings and report on your results in scientific publications. This position has a light teaching load of up