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and spoken English. Desirable: Experience with photonic/electromagnetics design software. Familiarity with deep learning platforms (e.g. TensorFlow, PyTorch). Funding and eligibility The project is
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computational, data analysis or programming experience, including software or languages used. o Publications, preprints, conference presentations or posters (if available). o Names and contact details of two
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modelling, analysis of complex dynamical systems, simulation, analysis of large-scale datasets with machine learning methods, and software development are beneficial Good organisational skills and ability
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and molecular function. The project will build on the MDSPACE image analysis software [2], and its application to characterising VCP/p97 dynamics [3], to analyse cryo‑electron microscopy (cryo-EM
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Description This PhD project aims to develop advanced software solutions for cryo-electron microscopy (cryo-EM) data analysis, modeling conformational heterogeneity, and identifying optimal binding candidates
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), software development (-economics) or similar. We Offer Interesting area of responsibility Collegial and friendly working atmosphere Flexible working schedule (e.g. possibility for home office, paid lunch
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disse informasjonskapslene. Databehandlingsansvarlig: HAProxy software Formål: Kreves for at nettsiden skal fungere riktig. Personvernregler for databehandling: HAProxy software - Personvernregler
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advanced applications of artificial intelligence and machine learning in a research lab environment. The role contributes to the technical vision and architecture for ML projects and software solutions
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contributing to the life cycle assessment (LCA) of the process; +Processing and analyzing data (Excel, Origin, ChemDraw, and dedicated instrument software); +Presenting results to the supervisory team during
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contexts, or a strong motivation to explore how different groups of learners appropriate AI-based tools. A strong technical background, ideally in computer science, software engineering, human-computer