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Field
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otolith-based method and relate FMR to oceanographic and ecological conditions along north-south and fjord-offshore gradients in East Greenland. Experience with isotope analyses and arctic field work
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initiative to develop novel approaches and methods where required. To ensure the research is carried out in accordance with good practice and in compliance with local policies and legal requirements
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profile You have PhD in data science, with a background or familiarity with agricultural sciences, agroecology, or agronomy. You have proven expertise in applying data-science methods and principles
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early learning and development. We use a variety of methods – including experiments, naturalistic observations, and surveys – to explore how young children learn from others. We aim to build evidence
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production via at least one of the following techniques: magnetron sputtering, electrodeposition, wet chemical methods. The catalysts will be characterized via XPS, XRD, and electron microscopy and we will
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group – lead by professor Sophia Zackrisson – with a main research interest in innovative imaging modalities and methods in breast cancer diagnostics, focusing on screening and the role of Artificial
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of the research, from conception, execution, analysis, publishing, and public dissemination. A solid set of field specific methods is necessary. Candidates are expected to be willing and able to contribute
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the project include collecting YouTube or social media data and digital news content, using manual and computational methods to analyze this content, and collaborating with the European project team on a cross
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to the discussions with the project partners (with reciprocal visits during the employment period) and work towards the project deliverables; explore new methods construct LRC codes from algebraic curves and/or
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be working primarily with scientific machine learning methods, including symbolic regression and neural networks. You will apply the algorithms to the discovery of new models in different fields