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., machine learning for quantum error prevention/mitigation/correction) Quantum machine learning Quantum cloud technologies We are actively involved in practical applications through partnerships with
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SD-26065 -POST-DOC IN METHOD DEVELOPMENT FOR HIGH RESOLUTION CHARACTERIZATION OF NOVEL SAFE AND S...
, technical reports, participation in conferences) Is Your profile described below? Are you our future colleague? Apply now! Education PhD in natural sciences, material sciences, biotechnology, nanotoxicology
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who has A PhD in soil physics, environmental science, hydrology, geoscience, or similar fields Collaborative skills and ability to demonstrate commitment in teams. A fondness of taking the initiative
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approach to develop chemical probes, investigate biological mechanisms, and evaluate in vivo efficacy. In particular we use the promiscuous pregnane X receptor (PXR) and constitutive androstane receptor (CAR
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. In particular we use the promiscuous pregnane X receptor (PXR) and constitutive androstane receptor (CAR) as models. PXR and CAR transcriptionally regulate cytochrome P450 3A4 (CYP3A4) and CYP3A5-drug
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of root hair infection and root nodule development and a strong background in plant-microbe interactions is expected. Applicants must have a relevant PhD and additional experience from postdoctoral
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including a list of publications Names and contact information for at least 3 references (Letters of reference may be requested of finalists) Your qualifications should include (by time of hire) PhD
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Post Doctoral Researcher in Human-centred Large Language Models for Software Engineering, Departm...
The Section for Software Engineering and Computing Systems, at the Department of Electrical and Computer Engineering (ECE), invites applicants for a two-year postdoctoral position within the area of
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for methodological development in the project centres around demonstrating the feasibility of the use-cases with minimal data-sharing and via methods that concentrate on anonymisation, federated learning, and data
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. The Medical University of Vienna provides an excellent research environment including state-ofthe-art research core facilities and an international PhD program and various platforms which bring together