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that are necessary to design the experimental setup, plan the measurements, and analyze the experimental spectra 3) Development of a quantum-calculation computer codes 4) Validation of ab initio calculations
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Grade Level 52 Salary Range $110,157-187,262/year Type of Position Staff Position Time Status Full-Time Required Education PhD(DVM) Click here for more information about equivalencies: https://hr.uky.edu
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Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V. | Dortmund, Nordrhein Westfalen | Germany | 3 months ago
fields Experience with image analysis, or computer vision Good knowledge of basic machine learning techniques, such as variational autoencoder Good presentation and writing skills Proactive, independent
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, understand, and communicate in English sufficiently to perform job duties. Must be computer literate with proficiency and working knowledge of database and reporting tools such as Microsoft Word, Excel, and
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the following conditions: Scientific Area: Computer Science. Admission Requirements: Academic qualification: Master's degree in Computer Engineering, Computer Science, Electrical and Computer Engineering
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and in the experimental and/or theoretical study of neural networks, or possession of a PhD relevant to the required experience; h) Knowledge of English and basic computer skills (to be assessed during
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. For further information, please contact Dr. Salah Ghamizi: Your profile Master in Computer Science. Major in machine learning or computer vision is an asset Strong programming skills Strong analytical skills
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1.5% Black or African American students. Each year we award approximately 1,000 undergraduate and graduate degrees in engineering and the computer sciences. ECS is one of only two ABET-accredited
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 09-Jul-26 Location: Abu Dhabi Categories: Academic/Faculty Internal Number: 189065 The Laboratory for Computer-Human
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assigned by Supervisor. Requirements PhD in Computer Science or related field Expertise in computer vision and vision-language models Experience with ML evaluation metrics and benchmarking Proficiency in