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University of Ljubljana, Faculty of Computer and Information Science Position ID: University of Ljubljana -Faculty of Computer and Information Science -PQA [#29819] Position Title: Position
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meet the following essential criteria: Have or about to obtain a PhD degree in Computer Science, Computational Biology or other relevant discipline (*must be obtained within 3 months of commencement of
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computer science, engineering, mathematics or physical sciences area Recent high quality research experience in machine learning/AI, or both, as evidenced by a strong track record of publications in leading
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. • Join journal clubs. • Conduct a wide range of neural network analysis Job Requirements The project requires a researcher with a • PhD in Computer Science, Biostatistics, Statistics or other related
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Job Description Job Alerts Link Apply now Job Title: Research Fellow (Building Acoustics) Posting Start Date: 26/05/2025 Job Description: Job Description We are seeking a full-time Research Fellow (Building acoustics or Acoustics Materials) for a 12-month appointment, which may be renewed. This...
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least a Bachelor’s degree in Computer Science, Electrical/Electronic/Software Engineering, or a related field. A Master’s or PhD degree in relevant areas will be advantageous. 3. Familiarity with
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community. Required Skills and Qualifications: Minimum PhD in computer science/ engineering or related fields. Proficiency in Python is a must. Experience with other programming languages such as Java, C/C
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, data science or computer science Knowledge, Skills & Experience Sufficient breadth or depth of specialist knowledge, in the application of Earth observation for environmental monitoring and management in
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Full time: 35 hours per week (part-time will be considered) Fixed-term: Until 15th June 2026 The Opportunity: This post is full-time (35 hours per week); however, we are open to considering part-time or flexible working patterns. We are also open to considering requests for hybrid working (on...
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Qualifications: Ph.D. in applied hydrology, civil engineering, computer science, geoscience, or related field. Skills and Knowledge: Strong interest in (or skilled in) the development and application of hydrologic