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PhD Candidate on The Future of Mixed Methods Research /Junior Lecturer in Methodology and Statistics
to support researchers in opening their mixed methods pipelines Design methods mixed methods guidance to integrate natural language processing, computational data and traditional qualitative data to future
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are educated in a stimulating learning environment. Upon graduation, they have acquired the knowledge, insight and skills to make important and inspiring contributions to an increasingly international society in
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ideally suited for continuous interferometry. You will design and construct a compact rotation sensor using a rubidium atomic beam generated by a 2D-MOT, achieving mean velocities around 20 m/s and enabling
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, experimental designs and applying (multivariate) statistical techniques; excellent written and verbal communication skills in English; independence, eagerness to learn and the ability to work in an
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to collaborate with and supervise Bachelor and Master’s students. Would you like to learn more about what it’s like to pursue a PhD at Radboud University? Visit the page about working as a PhD candidate . Where to
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) to study its electroactive physiology in various conditions. Design and conduct syntheticco-culture experiments with yeast and anaerobic prokaryotes, and study their (cross feeding) interactions. Apply omics
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, please contact Cécile de Morrée. Would you like to learn more about what it’s like to pursue a PhD at Radboud University? Visit the page about working as a PhD candidate . Where to apply Website https
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learn about many interesting projects related to your PhD, in particular those of the strontium BEC group and of the hybrid atom-ion group . Your PhD project will profit from synergy with all
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Institutes). An appointment at NIOZ as a PhD candidate means working and learning simultaneously conform the NIOZ PhD policy. 338 annualized holiday hours for a full-time 40-hour work week. Pension scheme via
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, including abstract geospatial workflows; design AI- and machine-learning-based methods that automatically describe and model geodata sources using textual metadata (NLP) and the geodata itself; contribute