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learning - deep neural network, recurrent neural network, LSTM Optimization theory Stochastic geometry Strong programming skills in at least one of the following: MATLAB, Python, JULIA or C++ Language
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. Familiarity with wildfire modeling, risk assessment, or disaster management. Strong programming skills in Python, Matlab, R, or other relevant languages. Experience working with large datasets and high
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | 2 months ago
-discipline to carry out research independently # Willingness to work on numerical and experimental tasks # Programming skills (e.g., Matlab, SIMULINK, Python) or other common process simulators # Excellent
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skills and experience with tools such as MATLAB or Python Life cycle assessment (LCA) Software related experience on system dynamics modelling, GIS, and energy simulations Research writing and publications
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data analysis. Record of scholarly publications and scientific communication skills Proficiency in statistical and data analysis tools (e.g., MATLAB, Python, R). Preferred Qualifications: Experience with
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to conduct safe experiments. Experience with optical measurement techniques. Good programming and data analysis skills (e.g., Python, MATLAB, LabVIEW). You must meet the requirements for admission
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experience with the Linux/Gnu operating system and utilities. General experience with scripting or compiled programming languages (e.g., BASH shell scripting, Python, Perl, Ruby, Java, Mono.) Skilled with HPC
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. Additional Qualifications: • Theory: Expertise in quantum optics, quantum information science, or quantum field theory. • Simulation: Proficiency in MATLAB or Python for simulation/modeling and data analysis
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-throughput experimentation is desirable. Proficiency in programming languages (Python/MATLAB) commonly used in machine learning applications is desirable but learning can be completed during the PhD. Excellent
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. Specifically, your research will provide critical insight for NGGM performance assessment and predictions. You are encouraged to visit the ESA website: https://www.esa.int/ Field(s) of activity/research