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Field
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community-engaged research. Required License/Registration/Certification N/A Physical Requirements repetitive motion typical of desk work (sitting/bending/typing/twisting); prolonged exposure to computer
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, or reading groups), present their work at research methods and field-specific seminars, assist with DDSS projects on occasion, and offer consultation to faculty, graduate students, and postdoctoral researchers
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methods to discover unknown metabolites that have strong associations to experimental variables or phenotypes, but which have eluded identification. The position will remain open until excellent fits
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Experience developing pipelines and code for gravitational-wave searches and/or parameter estimation Knowledge of advanced Bayesian methods and samplers, machine learning approaches to signal processing
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-time PCR; Experience in aptamer selection methods; Curricular experience with laboratory practice and/or evidence of professional experience in the field; Basic computer skills from a user perspective
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plans Develop methods or research that incorporate highly specialized training in chemistry Conduct experiments and collect data Analyze, evaluate, and present findings in professional journals Learn more
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statistical skills. 6. Facility working with analysis software. Desirable Qualifications: Computer programing in Matlab, Python, C/C++ or similar. Expertise in machine learning methods and applications
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. The ideal candidate thrives in interdisciplinary settings and is eager to contribute to method-driven research with real-world impact. Required qualifications include: PhD in electrical engineering, computer
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. The candidate's work may use empirical or theoretical methods to address important policy questions. The position offers an outstanding opportunity for independent research, as well as opportunities
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Models to push the frontier where computer vision, physics simulation, and embodied AI converge. Join Us! This position is part of a collaborative research programme between the University of Amsterdam