11 machine-learning-"https:"-"https:"-"https:"-"Computer-Vision-Center" positions at Human Technopole
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training, mentoring and dedicated learning opportunities. Essential skills MSc in machine learning / computer science or a related discipline. At least 3 years in the role or similar one. Strong
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discovery. Our mission is to transform bold scientific ideas into advances that improve human health. In this context, the Funke lab develops machine learning methods to accelerate scientific discovery with
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Data Science Centre develops advanced computational and machine learning approaches to analyse complex biomedical and clinical data. The Centre works at the interface of data science, machine learning
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learning / computer science or a related discipline. Strong programming and data handling skills (e.g. git, HPC environments, etc) Fluency in English Preferred Machine learning experience applied to
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Biology, Computer Science, Bioinformatics, or a related quantitative discipline, or expected completion within the next six months. Strong publication record in machine learning, computational
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, and other global partners, providing valuable opportunities to engage with prominent research groups in machine learning, human genetics, and computational biology. Your mission As a Research Software
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training, mentoring and dedicated learning opportunities. What you'll bring Essential PhD in Machine Learning, Artificial Intelligence, Computer Science, Computational Biology, or a related quantitative
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through which genetic variation influences disease. Your work will sit at the intersection of statistical genetics, machine learning, and mechanistic biology, with opportunities to lead methodological
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assays. Experience with machine learning in proteomics data analysis. Experience with spatial proteomics workflows Organizational and social skills: Communication, team building and problem-solving
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translate experimental findings into mechanistic and clinically relevant insight. Human Technopole supports career development through training, mentoring and dedicated learning opportunities. Key