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University of Potsdam, Department of Human Resources | Potsdam, Brandenburg | Germany | about 9 hours ago
comparable, relevant field of study Understanding of the fundamental concepts and techniques of Artificial Intelligence (AI) and Machine Learning (ML) Knowledge in specific AI application areas such as Natural
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computational chemistry, reaction network analysis, and machine learning for organometallic catalytic reactions. 2. Design of membrane-permeable macrocyclic peptide drugs via machine learning structure
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following areas: Strong foundation in machine learning, optimization, and deep learning algorithms, including Transformer architectures. Hands-on experience or solid theoretical knowledge of LLMs/SLMs
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enrolls thousands of students in English Language Learning courses, and also serves more service veterans and military-connected students than any other college in the SUNY system. SUNY Suffolk is searching
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California State University, San Bernardino | San Bernardino, California | United States | 19 days ago
Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 21-Mar-26 Location: San Bernardino, California Type: Part-time Categories: Academic/Faculty Computer/Information
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. Knowledge of machine learning algorithms. Proficiency in Canvas and content organization. Excellent communication skills. Responsible and punctual.
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materials including text(s) and supplemental readings. Conduct three 50-minute study sessions per week throughout the term using strategies learned through the SI Leader training workshop. Regularly meet with
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, computational neuroscience, bioinformatics, robotics, or a related field Strong expertise in computational data analysis (e.g., behavioral analysis, signal processing, or machine learning) Experience working with
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for testing machine learning algorithms applied to generative design in support of existing heritage regeneration processes. Where to apply E-mail reclutamento.docenti@ateneo.uniroma3.it Requirements Additional
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capable of understanding, learning, and acting in complex, dynamic settings. The lab’s work lies at the intersection of computer vision, multimodal learning, and robotics, advancing next-generation embodied