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performance with classical methods. Qualifications PhD in Physics, Computer Science, Applied Mathematics, or related fields. Strong background in at least one of the following: machine learning, quantum
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20 Offer Starting Date 1 Mar 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number BII/FhP-26/01 Is the Job related to staff position within
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. Rather than focusing on a single narrow research task, you will -together- play a central role in shaping the direction, collaborations, and outputs of a large, interdisciplinary research programme, taking
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UNIVERSIDAD CATÓLICA DE MURCIA - FUNDACIÓN UNIVERSITARIA SAN ANTONIO DE MURCIA | Spain | 3 months ago
Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description START YOUR PhD IN CUTTING-EDGE CANCER RESEARCH Are you
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-augmented AI tools Interfacing AI tools with experimental facilities at CNM and Argonne Key Responsibilities Research leadership (50%) Develop and lead an independent and collaborative research program in
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sequencing to study dynamic cell states in health and disease. The lab operates at the interface of engineering, biology, and medicine, combining rigorous experimental work with quantitative and computational
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-for-integrative - genomics/) at Institut Pasteur, led by Laura Cantini, works at the interface of machine learning and biology (tools developed by the team: https://github.com/cantinilab ). The team is composed
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origin, citizenship, age, disability or protected veteran status. Required Degree Doctorate -Electrical and Computer Engineering Minimum Requirements The minimum qualifications are a PhD in electrical
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for publication. To be successful, you will have a PhD in computational neuroscience, cognitive neuroscience, physics, applied mathematics or a related discipline. You will have research experience, ideally in a
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into their cellular and molecular building blocks. Our research spans the interface of molecular biology, computational modeling, and clinical imaging, with the aim of translating mechanistic discoveries into precision