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learning, statistical estimation methods, software tools, and big-data frameworks. Programming languages such as e.g. Python, C++, and LABVIEW. Emission control rules and regulations in the shipping industry
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studies and relevant coursework Fluency in programming and digital tools used in AI or interactive system development (e.g., Python, Max/MSP, Csound, PD, etc) is an advantage Applicants should be familiar
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skills in relevant programming languages, particularly python Knowledge of, and experience from, the maritime industry Knowledge of generative models, reinforcement learning, or geometric deep learning
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electron microscopy (TEM). Interest and experience in working with industrial problems. Experience/ knowledge within electrochemistry. Experience with programming and/or data processing in Python. Good oral
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intelligence, machine learning, statistical estimation methods, software tools, and big-data frameworks. Programming languages such as e.g. Python, C++, and LABVIEW. Emission control rules and regulations in
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necessary. • Good programming skills (in R, Python or similar). Experience with analyzing large datasets or registry data is an advantage, but not necessary. • Fluent oral and written communication skills in
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, Bioengineering, or a related field Strong interest in translational endocrinology and digital health technologies Basic programming or data science skills (R, Python) and interest in wearable data analysis
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the Nobel Prize in Physiology or Medicine in 2014. The position is part of a collaboration between the research groups of Assoc. Prof. Weijian Zong (group page here ) and Prof. Jonathan Whitlock (https
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Intelligence, Machine Learning, and Natural Language Processing Experience with multimodal learning (integration of time-series, clinical, and textual data) Strong programming skills (Python, PyTorch/TensorFlow
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computing is an advantage Excellent programming skills (Python, Matlab or C), Good dominion of biomedical signals and human physiology is desirable, Strong interest in translational endocrinology and digital