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for integration into diagnostic tools Preparing manuscripts for submission to both medical and machine learning journals Qualifications Candidate profile: Required: PhD in mathematics, statistics, data science
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The candidate will have a PhD or equivalent degree in bioinformatics, biostatistics, computational biology, machine learning, or related subject areas Prior experience in large-scale data processing and
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computational framework, integrated with deep reinforcement learning (DRL) methodologies for both gene-level and edge-level perturbation control, represents a significant advancement in the computational toolkit
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found on hpc.uni.lu . The activities include classical HPC applications such as simulation and modeling, but also artificial intelligence and machine learning, bridging computational science, with data
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profile PhD (awarded within the last 5 years) of high quality, ideally in machine learning (in the broad sense), complemented by a strong mathematical foundation in probability and/or statistics Research
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role in our everyday behaviour. Having a belief seem true involves cognitive phenomenology; experientially taking a belief to be true when we first acquire it and if we later entertain it in thought
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, Impresso - Media Monitoring of the Past (https://impresso-project.ch/ ) is an interdisciplinary research project that uses machine learning to pursue a paradigm shift in the processing, semantic enrichment
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water. Clearly identified scientific objectives motivate and guide the design and development of space mission by CESBIO and monitoring tools. Missions: - Data processing, apply and tune deep-learning
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-world applications and labour market needs Support the development of pedagogical content for MOOCs, workshops, and blended learning formats Participate in hackathons, workshops, and AI public engagement
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-quality training and learning materials, and a sustainable plan. FSTM's main tasks are to contribute to the definition of the body of knowledge and competencies, assist in developing the skill tree used as