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and generative protein design (e.g. AlphaFold, OpenFold, Boltz, Chai). Develop robust, reproducible and reusable Python code for model training, inference, and large‑scale computational experiments. Run
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for QMSS (including which course(s), if applicable) and the skills (e.g., analytical tools such as Excel, R, Tableau, Python, etc.) and experiences (e.g., jobs, internships, research, coursework, teaching
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Sciences | Chemistry and Biochemistry Administration A postdoctoral researcher appointment is available in the Carpenter Nanoparticle Spectroscopy Group (https://www.carpentergroup.site/) in the Department
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with programming in Python are assets, but not required. The Research Assistant will be responsible for all aspects of the research process, including Acquiring cognitive, behavioural, wearable and
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experimental systems for cryogenic measurements Development of a microwave quantum control & readout stack Development of Python code to operate quantum systems Detailed experimental characterization
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méthodologie proposée. Funding category: Contrat doctoral PHD title: Doctorat en Génie des Procédés et de l'Environnement PHD Country: France Where to apply Website https://www.abg.asso.fr/fr/candidatOffres/show
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the future. https://nusit.nus.edu.sg/ Job Purpose Deliver enterprise-grade AI-powered applications using primarily but not limited to .NET and React, leveraging AI coding assistants throughout development
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management plans. Experience of NextFlow or Python is essential. The role will involve collaboration with both academics and healthcare professionals and issues of data security are therefore paramount
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-house-developed instrumentation. Programming skills for data acquisition and analysis (e.g., Python or LabVIEW) are highly desirable. After a training period, you will operate and maintain the fast ECSTM
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applications. Experience in natural language processing, model evaluation, or experimental design is advantageous. Proficiency in Python and/or R and familiarity with AI/ML libraries or generative AI platforms