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Field
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field deployment 30% modelling of whole-farm greenhouse gas fluxes 20% analysis of trace gas flux data and model outputs 30% manuscript writing & publication Qualifications Required Qualifications PhD in
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skills in data analysis, machine learning, as well as in mathematical and computational modelling? You will have the opportunity to investigate innovative solutions using machine learning algorithms and
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mechanisms through reaction kinetics analysis and other physical organic and inorganic techniques Perform detailed in situ / operando studies of catalysts using X-ray Absorption and Emission Spectroscopies
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for the analysis of the sequence data, to describe the genetic diversity between French regions for different types of variants (SNV, indels, SV, STR, mictochondrial…). He/she will work in collaboration with our
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conducting both quantitative and qualitative research, including data collection and analysis Proven ability to obtain ethics and research governance approvals for human subjects research Track record
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following qualifications and experiences: Experience with developing or applying ecosystem models (e.g., SWAT-Carbon, CLM, EPIC, DNDC, and DayCent) Experience with analysis of geospatial data and time series
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heterostructure quantum devices Perform electrical measurements (i.e. magnetotransport) at room and/or cryogenic temperatures Participate in TEM and nano-ARPES characterisation and analysis Collaborate with project
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preferred. Strong data analysis skills and ability in programming languages, such as Python, for performing experiments and analyzing data. Knowledge of innovative phase retrieval algorithms is desirable
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) Knowledge of intersectionality-informed approaches to research including in data collection and analysis. Good collaboration skills, including with people with lived experiences, other research and academic
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. Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants . This is a term position