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work independently, excellent analytical skills and strong verbal and written communication skills are also essential requirements This studentship is available to home students only. How to apply You
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? We are looking for a pro-active, analytical and self-motivated PhD candidate to contribute to our understanding of fire impacts on vegetation and carbon emissions in a rapidly warming Arctic. You will
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excellent research, academic writing, leading laboratory or track side test and analytical skills. a highly independent and committed way of working, project lead, solid communication skills and team spirit
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the multiscale modelling frameworks, particularly to explore parameter regimes inaccessible to analytic tools. Finally, we plan to work with experimentalists to examine LCs confined in thin-slab geometries
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Requirements We will only consider candidates with a good Bachelor’s degree (ideally, a first, minimum 2:1) and/or a master’s degree in computer science, data analytics, health economics, or computational
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or very-good university degree in economics, business studies, agricultural sciences with a focus in economics, or related disciplines strong analytical and methodological skills with a focus on
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-motivation, attention to detail, and problem-solving analytical ability are important personal qualities for this position. What you will do: Take courses at an advanced level within the Graduate school
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. Motivated, self-driven, and curious. Willing to learn many different techniques and analytical skills. Excellent communication skills and interpersonal skills. (highly desired but not necessary) Experience
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system modeling is beneficial but not mandatory First programming skills, ideally in Python Independent and analytical way of working Reliable and conscientious working style Fluent written and spoken
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Research group The Database Architectures (DA) research group of CWI is well known as a leading data systems research group, active in the broad area of analytical database management systems. Our research