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Field
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(using fossil pollen and charcoal records dating back 10,000y), and PhD results and data will be used to adapt and parametrize an individual-based, spatially-explicit dynamic forest model to predict future
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. As such, PhD positions in our group are open and students have the opportunity to collaborate with several faculty members when possible. The supervisory team will be formed considering the student’s
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of personnel. We do … Where to apply Website https://www.academictransfer.com/en/jobs/356149/experimental-phd-position-corro… Requirements Additional Information Website for additional job details https
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PhD Position on Machine Learning Detection of Positive Tipping Points in the Clean Energy Transition
Develop machine learning models to detect early signs of abrupt shift towards clean energy technologies and make climate action adaptive to this information. Job description Positive tipping points
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longitudinal studies involving experiments, surveys, and digital trace data; and statistical modeling. Job description The positions are for four years and are hosted by the Department of Social Psychology
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computational mechanics profile, to work on a challenging micro-mechanical modelling project, in an exciting multidisciplinary team. Information The transition to low-carbon steelmaking will significantly alter
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production in LHC Run-3 data? Or are you interested in focus on the reconstruction of two-Higgs decay channel into a pair of photons and a pair of b-quarks? We are delighted to offer 2 PhD positions at Nikhef
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optimization lab (EES EMPDO lab). The former focuses on intelligent energy network research, including: demand management and flexibility, digital twinning, data analytics, smart grid ICT architectures and
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Make a difference with your research. Join us to build advanced population models based on the field observations. You’ll collect and analyse data on conservation options - predator management
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PhD Position: Feedbacks and Agency in Future Water Use Faculty: Faculty of Geosciences Department: Department of Physical Geography Hours per week: 36 to 40 Application deadline: 19 December