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Hub. Accountabilities Cleaning, manipulating, and analysing longitudinal quantitative data from various datasets, including survey, accelerometer and GPS, and EMA data from different project sites
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places you’ve worked. Yes, we’re a large organisation with a diverse and talented community; a community doing extraordinary things. But what makes us different isn’t only what we do, it’s how we do it
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if there are special grounds, for example, different types of statutory leave of absence. Applicants who are close to finishing a PhD are also encouraged to apply. Further information The position is fully funded by
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contribute constructively with feedback Show curiosity and a strong motivation for the subject Analyze data, assess different perspectives and draw well-founded conclusions Are flexible and open to adjusting
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large-scale, custom-designed digital signal processing readout system for the ATLAS experiment located at the CERN laboratory in Switzerland. Develop a prototype hardware implementation of different
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to make a difference. Do you want to be involved and contribute to our development? Together, we can create a sustainable future through knowledge and innovation. We believe that knowledge and new
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roadmaps. the state-of-the-art methodologies and technologies from different stakeholders in the field of digital twin spacecraft, in particular ESA/ESTEC, ESA/ESOC and the large space integrators
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background in quantitative research methods; Experience working with large-scale datasets; A keen interest in youth mental health, individual differences, and the role of education in shaping developmental
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Position Description: Every day, in ways both big and small, the Medical College of Wisconsin (MCW) is impacting lives for the better. MCW … changemaking for a healthier Wisconsin. In the role of a
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. Required Qualifications: Doctoral degree (PhD) conferred by start date Demonstrated experience with analysis of large health databases Training and experience in machine learning and deep learning methods