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research Teach courses at bachelor and master level in relevant fields such as artificial intelligence, machine learning, neural networks, computer vision or image analysis and coordinate the teaching
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, computer science, or related fields. Demonstrated hands-on experience with machine learning techniques. Strong programming skills (Python preferred). Experience analyzing time-series data, preferably from
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algorithms for optimization Quantum annealing Quantum inspired optimization Quantum machine learning with a special emphasis on classical optimization of QML algorithms Noise mitigation in relation
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more information, please visit our website: www.uni.lu/snt-en/research-groups/finatrax/ The candidate will be enrolled in the PhD program in Computer Science and Computer Engineering with specialisation
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such as causal inference or machine learning or complex panel data analysis. We are seeking excellent applicants with an international research portfolio and network. The teaching portfolio includes courses
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analysis Embedding within a computational team, with extensive experience in computational biology and machine learning. Embedding within an experimental team, with direct availability of experimental
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analysis Background in biomedicine and digital pathology What we offer Embedding within a computational team, with extensive experience in computational biology and machine learning. Embedding within
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, CNRS, I3S, Sophia-Antipolis, France) Collaboration: Luca Calatroni (Luca.calatroni@unige.it), Machine learning Genoa Center, Italy. Context and Post-doc objectives Conventional optical microscopy
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scientific research, both within and beyond your speciality and across the wider field of statistics and machine learning. •Excellent communication and interpersonal skills and be fluent in English (written
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, machine-learning, and protein design to develop novel transposon-based genome-editing tools. Located on the 6th floor of the new Inspiration4 Advanced Research Center (opened in 2021), the Kellogg lab leads