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Field
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numerical simulation of photonic neural networks (PNN) using Python, Photontorch, and/or SAX Assistance in the creation and verification of PIC layouts and specifications for the photonic neural processor
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, flow simulations, turbulence research, signal processing, lidar, AI applications, mathematics, and physicsSignificant prior experience using a scripting or programming language—ideally Python Goal
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, Mathematics, Physics, or a related discipline Excellent programming skills in Python and/or R Strong expertise in machine learning, deep learning and predictive modelling Experience working with multimodal
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working with empirical data; experience with statistical modelling, computational methods, machine learning, or causal inference is particularly welcome Programming skills (e.g., Python, R) - Experience in
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software development, data modelling and web-based research data infrastructures. Experience with Python or comparable programming languages, relational databases, REST interfaces, Git-based software
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/Python. Theoretical and experimental knowledge of optical and electrical communication systems Professional commitment Team spirit, ability to work independently and autonomously Previous publication
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carriers, Power-to-X, industrial energy systems, and sustainable industrial transformation Experience with quantitative methods, scientific modeling, and programming (e.g. Python, Julia, MATLAB, GAMS, Pyomo
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Max Planck Institute for Evolutionary Biology, Plön | Plon, Schleswig Holstein | Germany | about 1 month ago
bioinformatics, computational biology, or related discipline with a minimum of five years post-PhD experience Strong command of Unix/Linux systems and scripting languages (e.g., Python, R, Bash) Experience in
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qualification 5+ years of professional software engineering experience Strong professional experience in C++ and Java; proficiency in Python is advantageous Deep knowledge of OOP, functional programming, data
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: Review of existing, planned, and proposed policy instruments for DAC Development of a cash flow model in Python to model the policy impacts Assessment of policy support levels and types for enabling DAC