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Field
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explainable AI. (This point is about your motivation, not about the courses you have taken.) Programming skills: You should have very good programming skills in Python or similar, which allow you to effectively
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mnemonic signals. In addition, you will spearhead the reporting on the obtained findings via scientific publications and other dissemination channels. What you do designing, conducting and analyzing
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research, driving the development of innovative, sustainable and smart processes and products through world-class research while actively investing in graduate and undergraduate education and mentorship
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collect and analyze intracranial EEG data which provide a unique opportunity to get direct access to hippocampal mnemonic signals. In addition, you will spearhead the reporting on the obtained findings via
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related field. A keen interest in particle physics and data processing at high-energy physics experiments. A strong background in (experimental) particle physics and statistical data analysis is an added
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criteria. A Master's degree in Biology, if you are within a few months of completing your MSc degree, we also welcome you to apply! Please indicate in your application letter when you are likely to graduate
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. Other degrees with a strong mathematical component will also be considered. • Interests: You should have a strong interest in mathematical machine learning theory and explainable AI. (This point is about
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The REACT MSCA DN Project: Self-awareness in humans is an innate capability, arising from the brain’s ability to process a multitude of sensory inputs. Emulating this functionality in electronic
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The REACT MSCA DN Project: Self-awareness in humans is an innate capability, arising from the brain’s ability to process a multitude of sensory inputs. Emulating this functionality in electronic
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The REACT MSCA DN Project: Self-awareness in humans is an innate capability, arising from the brain’s ability to process a multitude of sensory inputs. Emulating this functionality in electronic