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algorithms. The post-doc will carry out theoretical work on causal abstraction and causal alignment, implement algorithms and experimental pipelines in Python/PyTorch, and run experiments on GPU clusters
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through 16 teams or themes organised into four clusters: the Control and Diagnostics Cluster (PAD), the Data Science Cluster (PSD), the Speech and Cognition Cluster (PPC), and the Geometries, Learning
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technological research clusters in the fields of materials and nanomaterials, biotechnology, microelectronics and life sciences. Its work is geared towards applied research and innovation to meet market needs
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bioinformatics, to join our team in Leuven. A successful candidate: Has a master’s degree in Bioinformatics and affinity with Computer Science, Bio-engineering and Life Sciences Has a PhD and experience with
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. This work will require close collaboration with social scientists and other stakeholders, ensuring that technical solutions are informed by societal and ethical considerations. The ideal applicant holds a PhD
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High-Energy Physics (HEP). We seek highly qualified candidates with interest and experience in ML algorithms including unsupervised techniques, time-series modeling, and clustering algorithms
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related to staff position within a Research Infrastructure? No Offer Description Position available within the research project entitled: “Design of organotin(IV) chalcogenide clusters as building blocks
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platform for continuous-variable quantum computing using 3D cluster states and hybrid (photon number + quadrature) detection. TopQC2X (Innovation Fund Denmark): Experimental primitives for topological
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environment and a vibrant research community, such as the excellence cluster CIBSS possibilities for career development and training programs for early career researchers Required skills: PhD in Biology
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the strengths of modern biotechnology and computational tools to address essential questions in life sciences including plant biology and crop sciences. Required Qualifications PhD degree in genetics, genomics