224 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions in Denmark
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models of quantum programming languages. The ideal candidate holds (or is expected to soon hold) a PhD degree in computer science, mathematics, physics, or a more specialised degree in quantum computing
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integrates, develops, and disseminates knowledge of farm animal management and relationships between actors and animals. Researchers in the section teach BSc, MSc and PhDs in animal and veterinary science
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program). Your qualifications A PhD in psychology or a related field. Knowledge of loneliness research, preferably with a focus on interventions. Experience with literature reviews and quantitative methods
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Job Description These days, the inner workings of molecules and materials can be probed and modelled by advanced simulation tools on modern computer architectures. However, the routine applications
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research project outlined above. You have: A PhD in life science, e.g., molecular biology or biochemistry. Expertise in CRISPR-Cas9 based gene editing. Experience with culturing green microalgae. Experience
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hold a PhD in physics, but other fields within the natural sciences may be considered for applicants with a strong profile on the points listed below. Experience with experiments based on femtosecond
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of fracture can directly inspire the design of new architected and disordered materials with enhanced toughness and reliability. Your profile Applicants should hold a PhD in mechanics of materials, physics
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and around 800 students are enrolled in our study programs. Furthermore, we also offer an ambitious PhD program. At the Department of Biological and Chemical Engineering, focus is on living systems
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of public-health professionals and PhD-students. The day-to-day work will be performed in close collaboration with other researchers in the Risk-benefit Research Group and within the project consortium
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considerations. Experience working with machine learning methods for control, perception, or decision-making in physical systems is an advantage. Knowledge of or a passion for sustainable computing