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sharing in digital platforms can help achieve CO2 emission reductions while better matching supply and demand? Are you enthusiastic about making such a platform effective by using mathematical modelling and
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experimental molecular biology laboratory. We believe that AI and Machine/Deep learning can be complemented with statistical and mathematical modelling to arrive at a systems level description and understanding
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behaviour, i.e. fishers. For this we use (experimental) field and lab data, mathematical models and computer simulations. Your qualities You are results-oriented, constructively critical yet realistic and
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understand how forest fires and climate change interact on a global scale. You are available from September 2024 onwards, or sooner. You also possess: At least intermediate statistical and mathematical skills
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Your job Do you want to pursue a PhD in mathematical or computational biology? Are you interested in the effects of spatial structure on the evolution of bacteria? And do you have a strong drive to
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? Then this PhD project could be what you’re looking for! As a fully funded PhD student in the Systems & Synthetic Biology Chair Group, you will develop novel approaches to mathematically describe
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Your job Are you an enthusiastic scholar in the field of social sciences and/or inter- disciplinary environmental and natural resource studies? Are you interested in exploring and understanding the potential (and limitations) of market-based instruments in forested landscapes? Then this could be...
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(such as neural networks and deep learning) to address systems biology problems and a deep understanding of mathematical and statistical modelling of biological systems. In addition, you have strong affinity