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, JuMP, GAMS, AMPL, CPLEX, Gurobi etc. Demonstrated experience implementing algorithms with Python, Julia, or other major language Preferred Qualifications Experience with Pyomo and/or JuMP. Experience
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on the distribution grid with distributed energy resources (DERs) and modeling of cyber/network components Proficiency in using Python Preferred Qualifications Experience in using high performance computers, Linux
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or Python Can work independently and demonstrate critical thinking This is a part-time position with flexible working hours. The estimated workload is 10 hours per week. The expected start date is 1 April
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. or equivalent) in applied mathematics or in computational engineering science, computer science, simulation science with a strong background in applied mathematics Excellent programming skills (Python, C/C
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related field Strong background in numerical methods and machine learning Proficiency in at least one programming language (Python, Julia, C++, …) Good analytical skills Good organizational skills and
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, experience with the Unix/Linux operating system, the Python programming language, and/or the statistical package R is a major asset. Above all, the applicant should demonstrate strong motivation, empathy, and
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Experience with Python and machine learning libraries (PyTorch, TensorFlow, scikit-learn). Understanding of deep learning, CNNs, Capsule Networks, and image processing fundamentals. Basic knowledge of handling
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results Your Profile: A Masters degree with a strong academic background in physics, mathematics, computer science, or a related field Proficiency in at least one programming language (Python, C
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. Your Profile: A Masters degreee with a strong academic background in physics, mathematics, computer science, or a related field Proficiency in at least one programming language (Python, C
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one programming language (Python, Matlab, R, C++, Julia, …) Good analytical skills with a sound understanding of data evaluation Knowledge of numerical simulation, for example with land surface