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(for example spike sorting, LFP analysis, population analyses) Strong quantitative skills and programming experience (MATLAB and or Python), including reproducible analysis workflows Familiarity with
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algorithms (Python, Matlab, or equivalent). Experience with deep neural networks, particularly for the analysis of spectral or imaging data, will be highly appreciated. Knowledge of light propagation in
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calculus, linear algebra, differential equations, and basic probability at the university level Experience with scientific computing (Python, Mathematica, MATLAB, or similar) Strong written and spoken
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algorithms for dynamic master selection, coordinating BESS, PV, diesel generators, and other sources. Implement predictive, rule-based, or optimisation-based control strategies using MATLAB/Simulink, Python
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Sciences | Chemistry and Biochemistry Administration A postdoctoral researcher appointment is available in the Carpenter Nanoparticle Spectroscopy Group (https://www.carpentergroup.site/) in the Department
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geophysics, physics, geoscience, computational geoscience, or related natural sciences with an overall grade of at least good Experience in programming (e.g., MATLAB, Python, C/C++) Advanced knowledge
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Qualifications: M.S. (or equivalent professional degree) in physics or a related field, and experience with different computer environments and languages especially Python, Matlab, IDL, FORTRAN and UNIX/LINX
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of cognitive sciences (cognitive neuroscience, philosophy of consciousness and of the self, experimental psychology) would be a bonus Specific Requirements Being fluent in English; Programming in both Matlab and
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the machining group with a focus on digitalising machining processes. Programming and using pre-existing in-house software/scripts (using MATLAB and Python) for data analysis and modelling. Experimental testing
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Engineering, Physics or similar is required Knowledge of at least one programming language is expected: Python, Matlab, Fortran, C++, … Experience and/or keen interest in transport modeling of porous systems