116 learning-"https:"-"https:"-"https:"-"https:"-"https:" PhD positions in Netherlands
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profiles. Identification of molecular signatures in platelet disorders and bleeding disorders of unknown cause (BDUC). Development of machine learning models for patient stratification. Integration
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strong affinity with the study of socio-economic and ethnic inequality; has experience with advanced quantitative methods (or is motivated to learn); ideally has experience with large-scale, complex data
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interdisciplinary community forms a unique collaboration between university and academic hospital, where education, research, and care come together. Interested? Would you like to learn more about this position
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relations through a PhD dissertation and publications Teach in our educational programmes (10% of appointment) What do you have to offer Candidates must have: Dutch language proficiency (fieldwork will be
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in laboratory work and materials characterization techniques (e.g. SEM, ICP-MS) Basic knowledge of thermodynamic modelling or willingness to learn tools such as FACTSage Analytical mindset with strong
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combining analytical and numerical approaches to model realistic quantum experiments and appreciate how the two complement one another. You are eager to learn new techniques and explore unfamiliar ideas
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. We work on education and research in mechanical engineering, civil engineering and industrial design engineering. Together, we learn by making, creating, and innovating, addressing challenges in a
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, pandas, scikit-learn, TensorFlow/PyTorch, or equivalent) is a strong advantage Experience with high-throughput molecular assays, particularly next-generation sequencing (NGS) data generation and/or
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PhD Candidate: Modulating plant-based nutrition to enhance the sensory aspects and nutritional value
ideas), how you would apply your existing knowledge to the project, and what new skills or knowledge you hope to learn to complete the project successfully; Higher education certificates (incl. courses
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mechanisms, Sensors and instrumentation, Data analytics, machine learning, or AI, Digital twins or physics-based modeling, wide-bandgap semiconductor technologies. Excellent written and spoken English