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demonstrated by peer-reviewed publications in international journals. Having good programming (Python) and Linux skills is a must Knowledge in plant biology or single-cell genomics is a plus You have good
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supervision experience at the BSc and MSc level Interest and experience in developing competitive national and international research applications Experience in programming languages (e.g. Python/R) and
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learning or applied mathematics. Required skills and qualities: - Fluency with Python programming for data analysis or machine learning, - Knowledge of statistical or probabilistic modelling techniques
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supervision experience at the BSc and MSc level Interest and experience in developing competitive national and international research applications Experience in programming languages (e.g. Python/R) and
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. Strong programming skills with proficiency in Python and/or C++, and practical experience with deep learning frameworks such as PyTorch or TensorFlow. A track record of high-quality research outputs
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review) Proficient programming experience in Python and libraries (e.g., Pytorch, TensorFlow) with several years of practice Experience in maintaining high-quality code on Github Experience in running and
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about geomagnetic field evolution (secular variation, reversals, excursions) Global geo-/paleomagnetic field modelling expertise is advantageous Strong programming skills, preferably in Fortran, Python
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, Python, Julia, MATLAB). A research-oriented attitude. Ability to conduct high quality academic research, reflected in demonstratable outputs. Ability to be self-propelling and drive your own research
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, TESPy, or similar libraries. Strong programming skills in Python or MATLAB, including use of scientific libraries (e.g., NumPy, Pandas, Matplotlib, etc). Experience with machine learning (e.g., Scikit
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robotics, drones, UAVs, multi-robot systems or smiliar, and practical applications of LLMs, agents, RAG, MCP, or fine-tuning. Proficiency in software development (Python, C/C++), skills in data analysis, and