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, Matlab etc) A good understanding of appropriate statistical analysis techniques Qualifications Mandatory: PhD or equivalent in relevant field. Please Note: Appointment to this position is subject to
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materials. Evidence of publications in high-quality peer-reviewed journals and presentations at major conferences. Proficiency in data analysis and relevant tools (e.g. Python, MATLAB, WSxM, Gwyddion). Strong
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ability, including proficiency in C++/ Fortran, Linux, bash, git, Python / Matlab and NetCDF and experience working with high-performance computing environments and github. Demonstrated high level
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developing and implementing algorithms for processing, imaging or inversion of seismic data, preferably using MATLAB and/or Python. Experience or demonstrated ability in processing and analysis of surface
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in CFD software tools such as Ansys Fluent and CFX and with experience in coding using MATLAB, Python, and User-Defined Functions (UDFs). Strong technical communication skills. At Level B
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experience. Strong coding skills in commonly used scientific languages (e.g. Python, Matlab, shell script, C) Demonstrated experience in performing simulations at the atomic-scale, including density functional
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languages (e.g., Julia, Matlab, C#, C++) Familiarity with the applications and theory of environmental genomics Qualifications: A PhD in quantitative ecology, quantitative conservation biology, applied
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Learning-related field. Programming experience in Matlab, Python, C++ or other relevant language and experience in deep neural networks. Experience and demonstratable knowledge in deep learning, transformer
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Science, Engineering or other Machine Learning-related field. Programming experience in MATLAB, Python, C++ or other relevant language and experience in deep neural networks. Experience and demonstratable knowledge in