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such as STATA, Matlab, Python, Mathematica, or R. The ability to analyze data, derive proofs, and write reports. Self-directed, intrinsically motivated, and have the capacity to manage work independently
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, transforms, optimization). Programming and simulation experience (for example MATLAB, Python). Strong written and oral communication skills in English. Ability to work independently and in teams. Curious
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machine learning, deep learning, or data assimilation. Experience with scientific programming (Python, R, MATLAB, etc.) and geospatial tools (ArcGIS, QGIS, GDAL, GeoPandas, etc.). Demonstrated publication
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circumstances the doctoral degree can have been completed earlier. Other requirements: very good knowledge of English, in speech and writing; knowledge and experience in programming (Python, Matlab or similar
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models or glioblastoma research Familiarity with transcriptomic methods (RNA-seq, FISH, spatial transcriptomics) Programming skills for data analysis (Python, R, or MATLAB) We offer Funding: Full position
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scientific programming (Python, MATLAB, C/Fortran, or equivalent) and high-performance computing workflows. Proven ability to work across disciplines and manage complex modeling tasks. Excellent written and
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equations numerically Experience with programming (C, C++, Python, Matlab or alike) Creative pro-active team player with good analytical skills A research-oriented attitude Ability to work in an
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data with other geophysical/petrophysical data (preferred), • Modeling and analysis skills in MATLAB, Python, or similar software, • Excellent analytical skills, • Conscientiousness and high diligence in
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Skills Programming skills with Python, Pytorch, C++, and MATLAB * Expertise in computer vision/medical image analysis and machine/deep learning Additional requirements may be necessary for admission into a
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-based hardware implementation, VHDL/Verilog modelling, C, C++, Python and MATLAB/Simulink programming. A proven background in laboratory measurements and circuit prototyping is required. The following