30 programming-"https:"-"https:"-"https:"-"https:"-"https:"-";" PhD positions in France
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: https://www.hds-lee.de/admission/openpositions/ Your Profile Mandatory qualifications are: M. Sc. degree in meteorology, physics, mathematics, or a related field Good knowledge in data handling and
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design and training of neural networks Practical experience in FPGA development or embedded hardware design, including HDL (VHDL/Verilog) or high-level synthesis (HLS) tools Proficiency in programming
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. Your Profile Currently pursuing a master’s degree in Computer Science, Data Science, Artificial Intelligence, Geosciences, Physics, or a related field Strong programming skills in Python and experience
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Experience in X-ray or neutron scattering methods Experience in research related to the focus area of the project of your choice Experience with analysis of scientific data Scientific programming skills
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disciplines Experience with Python programming and Microsoft Excel Fluency in English, both written and spoken Strong interest in energy technologies, climate policy, and carbon dioxide removal Highly
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computing Excellent programming skills (e.g., Python, C/C++, Julia, or MATLAB) Interest in quantum computing, quantum algorithms, and hybrid quantum–classical computing. Previous experience is considered
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optimisation Experience in one or more of the following areas would be advantageous: EO or geospatial data analysis, parallel or distributed computing, GPU programming, Linux and containerised
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quantum field theory Experience with programming languages, in particular C/C++/Python Experience with Linux and high-performance computing Willingness to contribute with talks to international
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Excellent knowledge and experience in programming Python Excellent knowledge and experience in machine learning Excellent ability for cooperative collaboration Very good command of written and spoken
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, Artificial Intelligence, Geosciences, Physics, or a related field Strong programming skills in Python and experience with deep learning frameworks such as PyTorch, TensorFlow, or scikit-learn