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PhD Candidate on The Future of Mixed Methods Research /Junior Lecturer in Methodology and Statistics
nomothetic assessment, and refines the development of psychological theories. Yet rigor is underdeveloped in psychological mixed methods research, it is unclear how methodological innovations from (mostly
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on developing a new multi-disorder prediction approach that integrates different sources of information. You work with analytical model development, extensive simulation studies and analysis of existing large
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. Guidelines for applicants: https://phdpositionswetsus.eu/guide-for-applicants/ Where to apply Website https://phdpositionswetsus.eu/ Requirements Research FieldAgricultural sciences » Soil scienceEducation
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psychosis. Key topics may include conceptual development of methods to link multilevel data including EEG recordings as well as symptom-, functioning-, and personal recovery indicators. Study how
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candidates to study (PhD1) abiotic signals that regulate below‑ground development and (PhD2) above-ground responses of to stress and source–sink relationships of three novel protein crops — quinoa, white lupin
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to enable this through inclusive policies and innovative projects led by teams of staff and students. We encourage you to apply for this position. Where to apply Website https://www.academictransfer.com/en
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hubs for reclaimed infrastructure materials. Your research includes four connected research and development tracks: Understand what makes hubs: review existing and emerging construction/circular hubs and
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materials. Where to apply Website https://www.academictransfer.com/en/jobs/357941/phd-position-in-explainable-ai-… Requirements Specific Requirements We are looking for a collaborative and aspirational new
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of theoretical computer science researchers in Amsterdam (https://theory.amsterdam ). What are you going to do? You are expected to: carry out original research in the field of theoretical computer science; have
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the NXTGen High-tech project, which focuses on the development of new high-tech equipment and data-driven techniques for groundbreaking innovations in future industries. Specifically, in our collaborative work