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pangenomics), quantum-based simulation methods for drug design, or quantum machine learning for large omics datasets. The candidate is expected to have acquired first teaching experience, and first experience
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attacks in federated learning. Experience should be demonstrated by participation in projects in this area and scientific publications. Already enrolled in a PhD programme. Minimum requirements: Knowledge
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, supply chain systems, and transportation systems. We also currently host methodological research in data analytics, machine learning, human systems engineering, optimization, simulation, and stochastic
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Group, https://www.chalmers.se/en/departments/e2/research/communications-antennas-and-optical-networks/communication-systems/ , employing around 45 people, including 8 faculty and 25 PhD students. During
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discipline. Programming & Data Skills: Strong proficiency in Python (e.g., NumPy, Pandas, scikit-learn, PyTorch, TensorFlow); additional experience with R, MATLAB, or Julia is an advantage. Machine Learning
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context. • Conduct statistical analyses, longitudinal modelling, or machine learning approaches as appropriate. • Develop documentation, codebooks, or tools to support reproducible research. • Lead
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that after obtaining a PhD, eligible candidates for research associate appointments may not exceed a combined total of 5 years of relevant work experience as a post-doc and/or in an R&D position, excluding
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to enroll in a PhD program Preference will be given to candidates with knowledge and skills in the following areas: machine learning and neural networks, including LSTMs and explainable artificial
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the PhD program (https://www.utrgv.edu/cla/academic-programs/clinical-pyschology-phd-program/index.htm) mentor graduate students in the PhD program in clinical psychology, and serve as a clinical supervisor
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projects. Develops research plans and budgets, designs and implements statistical, machine-learning, and bioinformatic methodologies, and manages project workflows while ensuring all sponsor requirements and