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, geophysics, physics or a closely related field, completed by the start date Strong scientific programming in Python, and comfortable working with version control (git) in a collaborative codebase Fluent
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discipline. Desirable Experience in machine learning, deep learning, data analysis, numerical modelling, or scientific programming (such as Python, MATLAB, or R) is desirable. Knowledge of hydrodynamic
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of statistical and quantitative methods for analyzing complex, highdimensional datasets Good understanding of biochemical principles, including mass spectrometry Good programming skills (Python and/or R) Strong
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characterization of materials’ magnetic, electronic and structural properties. Experience in spectroscopy and microscopy is valuable Knowledge in programming (Python) and 3D modelling will be valuable Availability
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knowledge in building ventilation systems, heat transfer, fluid dynamics, machine learning, data analysis, and coding e.g., Python. Understand sensors, actuators, data acquisition, and control systems
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experience in Data visualization and communication; Data cleaning, creation, and analysis using coding languages such as Python or R; Geospatial data and GIS technologies; Closing Statement Boston College
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housed in the Department of Physics at Drexel University. This position is grant-funded; employment is contingent upon the continued availability of those funds. Essential Functions Write python code
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or phylogenetics) and possess excellent analytical skills. Programming skills (e.g., Linux, R, PYTHON or PERL) and experience of high-performance computing clusters are also essential. Main duties and
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magnetic resonance imaging (MRI), such as arterial spin labeling and diffusion tractography using programming scripts, such as Python and C++ Self-driven, motivated, and creative in designing image analysis
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program, in particular in those courses related to this call. You have very good programming skills in Python and ideally also C++. Proven experience in code development is crucial and will be checked