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applications (e.g. natural language processing, multivariate time-series data), to develop systems that improve the efficacy of machine learning-based technologies for healthcare applications. You must hold a
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into real-world settings. You will be responsible for developing machine learning and AI algorithms for a range of data and applications (e.g. natural language processing, multivariate time-series data
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additional secondment partners the candidate wishes to bring onboard. iv) Evidence of English proficiency (minimum CEFR B22, also checked at interview). v) A draft Individual Career Development Plan (ICDP). vi
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Sciences seeks a Postdoctoral Associate to work closely with PI on projects investigating speech outcomes for individuals with neurologic diseases associated with dysarthria and speech outcomes following
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) program - one of the four scientific pillars of the upcoming FAIR (Facility for Antiproton and Ion Research) facility currently entering its commissioning phase. In particular, the DESPEC experiment
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microscopy and/or structural biology; Fluent in English language and writing skills. Some experience in cryo-EM or eukaryotic protein expression is a plus.The successful candidate will join a highly
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major programming language, such as Java, C/C++/C#, Python, and preferably in several languages; proficiency in the Linux operating system and deployment and configuration of virtualised environments
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presentations Excellent communication skills in English (both spoken and written) Desirable: Experience in microbial genomics and biosynthetic gene cluster (BGC) analyses Microbiomics (e.g., NGS) A scientific
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Development and Demonstration Programme. The position is affiliated with the Section for Mechanical Technology and will be under the supervision of Associate Professor Jonas Sundberg. The project focuses
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potential vulnerabilities is a strong plus Proficiency in a major programming language (e.g., Python, Java, or C++) Familiarity with cybersecurity tools and methodologies, including vulnerability assessment