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and spoken English. - Strong analytical skills. - Willingness to acquire a variety of additional skills ranging from physics modelling and statistical data analysis to hardware programming. PhD
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spoken English. Strong analytical skills. Willingness to acquire a variety of additional skills ranging from physics modelling and statistical data analysis to hardware programming. PhD researchers
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research stay. Publish in peer-reviewed journals and present your findings at international conferences. Contribute to teaching and supervision of MSc students Contribute to the daily operations
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adapt advanced machine learning frameworks (SPARKS and CEBRA) for supervised and unsupervised analysis of high-dimensional neural data to decode multisensory information Investigate how neural
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learning Your competencies Prospective applicants to this PhD proposal should have the following qualifications: For three-year stipends: MSc degree in electrical engineering, communications engineering
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+to+apply#Howtoapply-Eligibility) a Master’s degree in Artificial Intelligence, Machine Learning, Computer Science, Cognitive Science, Psychology or a related field excellent knowledge in AI and at least one
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algorithms. Graph Neural Networks. The candidate is expected to hold a relevant MSc degree in Computer Science, Data Science, Physics, (Applied) Mathematics, Computational Statistics or another field
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of the study in peer-reviewed journals. Present papers at scientific conferences. Is Your profile described below? Are you our future colleague? Apply now! Education · A relevant MSc degree in e.g. engineering
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the context of stress and depression? Are you intrigued to learn more about early-life stress as risk factor for depression and the role of the endocannabinoid system? Do you enjoy working in a lab with
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below? Are you our future colleague? Apply now! Education · You hold a MSc or equivalent in Environmental Science, Forestry, Civil and Environmental Engineering, or a related discipline in the