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Field
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. About You You will have a PhD in computer science, engineering, mathematics, or similar, strong programming skills, and experience with a contemporary machine-learning framework such as PyTorch. You will
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expertise in computational toxicology, data science, artificial intelligence and data governance. Ideally, the candidate has experience in applied science or a keen interest in applying their experience
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funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Department of Mathematics
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Intelligence in Molecular Medicine (AIMM) Lab, led by Prof. Charlotte Bunne at EPFL, sits at the interface of computer science, artificial intelligence, and biomedical applications. The lab is affiliated with
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Deadline 7 Oct 2026 - 21:59 (UTC) Country Netherlands Type of Contract Temporary Job Status Not Applicable Hours Per Week 40.0 Is the job funded through the EU Research Framework Programme? Not funded by a
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(UWB) RF sensing, localisation, and vital sign recognition. The successful candidates will be working with a team of researchers on a range of topics, including artificial intelligence, RF sensing and
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Join the Veldhorst Group, pioneers in germanium-based quantum computing and simulation. Job description After a successful first hire for this research topic, we are looking for a second
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Description Here’s a Glimpse of the Job Texas A&M’s Department of Statistics is seeking a Postdoctoral Research Associate to develop advanced computational methods and collaborate with life science researchers
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into concrete solutions for the challenges of today and tomorrow. These challenges are changing rapidly. That is why we focus on themes such as energy, climate, digitalisation, artificial intelligence (AI), and
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for neurovascular interventions. The successful candidate will develop and evaluate medical imaging and artificial intelligence methods for vascular mapping and navigation using computed tomography (CT) and digital