224 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions in Denmark
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- Technical University of Denmark
- Nature Careers
- Aalborg University
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- Aalborg Universitet
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. Qualifications: PhD in Molecular Biology, Biomedicine, Human Physiology, Computational Systems Biology or similar fields. Proven expertise in LC/MS based metabolomics and/or bioinformatic analyses of complex omics
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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
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focus on educating engineering students at all levels, ranging from BSc, MSc, PhD to lifelong learning students. We have about 300 dedicated employees. Read more about us at www.energy.dtu.dk
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such as potato and tomato, contributing broadly to more climate-resilient agriculture. Qualifications PhD degree in Plant Science or related discipline Expertise in gas exchange and chlorophyll fluorescence
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have, a PhD in palaeoproteomics, archaeological sciences, or a related field. You have laboratory skills in in palaeoproteomics and associated computational data analysis. You have an active interest in
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for applying, qualifications in relation to the position, and intentions and visions for the position Curriculum Vitae (CV) Diplomas (master's degree diploma and PhD diploma) List of publications, with
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in a collaborative research environment. As a formal qualification, you must hold a PhD degree (or equivalent). We offer DTU is a leading technical university globally recognized for the excellence
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occasions to interact with the team there both remotely and in person. You will be expected to present your results at local and international conferences. Your profile Applicants should hold a PhD in
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, or process engineering is therefore an advantage. Your profile The ideal candidate holds a Master's or PhD in Biological-, Chemical-, Process-, or Mechanical engineering, or a related field. The ideal
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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