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Field
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focus time on research for up to two years, teach one course per academic year, be involved with the Center for Languages, Literatures, and Cultures’ extensive programming around preparing students in
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for Languages, Literatures, and Cultures’ extensive programming around preparing students to enter careers in our global environment, participate in the activities within the Department, and have a
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years allowing for an in-depth start on scholarship, teach one course per academic year, be involved with the Center for Languages, Literatures, and Cultures’ extensive programming around preparing
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appropriate programming languages, tools, or frameworks. Experience collaborating with faculty, students, and interdisciplinary research teams in an academic research environment. Required Education Ph.D
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Biological & Life Sciences Division – Postdoc Researcher: AI for Precision Medicine and Therapeutics
intelligence (AI), machine learning (ML), deep learning (DL), LLMs, genomics, agentic AI, computational chemistry and related areas. Proficiency in programming languages commonly used in bioinformatics and AI
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Security”. The postdocs will conduct research on program analysis within the Programming Languages, Logic, and Software Security research group at Aarhus University. The focus of the positions will be in
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background who are looking to move into computational biology. Applicants should send a CV including a list of publications, <b>programming</b> <b>languages</b>, a statement of research interests, two letters of recommendation, contact information for three referees to [email protected]...
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Qualifications: Experience in implementing ab initio simulation codes such as VASP or CP2K on massively parallel architectures. Solid skills in common scientific programming languages, in particular
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foundation in linear algebra (tensor networks and beyond) and quantum physics Familiar with programming languages and scientific computing Preferred Qualifications: Experience working with low-rank
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programming languages and evaluated on both real-world bugs and code modified by AI coding assistants. The broader aim is to determine when code contains enough information to support its own repair and when