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, or robot perception. Strong programming skills in Python and/or C++, with experience in robotic software frameworks (e.g., ROS/ROS2). Experience with machine learning or computer vision methods, preferably
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models of neuroinflammation); Excellent skills in cell culture and flow cytometry; The ability to analyze RNA-seq data (R/Python); Enthusiasm and passion for research; Doctoral degree obtained not earlier
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, technology of semiconductor lasers, • good programming skills (C/C++/python) • published papers from recent years including current publishing activity • fluency in English. Formal requirements (based
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, good programming skills (python, SCPI, communication protocoles) published papers from recent years including current publishing activity fluency in English. Formal requirements (based on Załącznik nr 2
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; additionally other methods such as simulation-based inference Good computing skills in python and good communication skills in English. What will be your role? The candidate will be expected to play a central
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proficiency in Python (e.g., NumPy, Pandas, scikit-learn, PyTorch, TensorFlow); additional experience with R, MATLAB, or Julia is an advantage. Machine Learning Expertise: Familiarity with supervised
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mouse models of neuroinflammation); Excellent skills in cell culture and flow cytometry; The ability to analyze RNA-seq data (R/Python); Enthusiasm and passion for research; Doctoral degree obtained not
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degree has been awarded. A good understanding of ocean and/or climate dynamics is a requirement. Proficiency in scientific programming (e.g., MATLAB or Python) is a requirement. Experience in statistical
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refer to https://www.uni.lu/snt-en/research-groups/sigcom/ . Your role The successful candidate will join the SIGCOM Research Group, led by Prof. Symeon Chatzinotas. This PhD project aims to develop
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of Bioinformatics, databases and data modelling, Artificial Intelligence and/ or natural language processing; Previous experience in the development of software, preferably in the Python language. Workplan and