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Field
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specific requirements: a) Experience in the application of data analysis and machine learning methods to scientific data (e.g. multivariate analysis, chemometrics, neural networks, classification
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responsibilities will include: Identification of key microbial species in Antarctic coastal sediments using network analyses Investigation of the genetic repertoire of these key species to elucidate their eco
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Prevention Research Center, Michigan Youth Violence Prevention Center, Partners Engaged in Equity Research Hub, Healthy Minds Network, Housing Solutions for Health Equity, and several affiliated federally
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In-Vehicle Network Paradigms”, project number PN-IV-P2-2.1-TE-2023-0474. Part-time position in automotive security for the duration of the project. Where to apply E-mail [email protected]
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semi-quantitative network methods (socio-technical configuration analysis, STCA), and contribute to the project's methods development compare cases across sectors and across high- and middle-income
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, and EHR data. Experience with modern deep learning frameworks such as PyTorch, TensorFlow, Keras, Scikit-learn, Pandas, NumPy, and SciPy. Familiarity with convolutional neural networks (CNNs), graph
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for this vacancy, this concerns a joint PhD position with KU Leuven as the main institution and primary workplace (and VUB as the partner institution).• Subject-matter expertise and an international research network
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funded research teams • Familiarity with physiological, behavioral, or sensor-based data collection methods Instructions and Required Materials for Application To apply for this position please upload CV
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-functioning, inclusive, and productive research environment Ability to cooperate and communicate well with other staff members Strong networking skills and the ability to collaborate and communicate effectively
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As a PhD student, you will become part of an excellent scientific network and benefit from our structured, interdisciplinary graduate program, which includes tailored training, workshops, retreats