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; - academic curriculum with background on the computer science and machine learning background; - previous research and professional experience on the scientific domains of the work. Additional Information
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Adjunct Faculty positions are temporary, part-time positions hired each semester on an as-needed basis. The adjunct faculty member will be responsible for creating a learning environment that
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Application Restrictions Open to both Internal and external Job Type Open Learning Faculty Member Posting In effect from 19/3/2026 Closing Application Date 26/3/2026 OLFM Type Regular Continuous
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: “Towards a trustworthy strategic use of data in machine learning pipelines”. CUP: D53C25002380001. Where to apply Website https://aunicalogin.polimi.it/aunicalogin/getservizio.xml?id_servizio=1079
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: Alexandre José Malheiro Bernardino (ist13761) Organic Unit: Scientific Area of Systems, Decision and Control Scholarship Theme: Computational Auditory System Simulators and Machine Learning-based Optimisation
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: Applied mathematics; Machine Learning; Mathematical Modelling Appl Deadline: 2026/03/24 10:59 PM UnitedKingdomTime (posted 2026/03/18 04:00 AM UnitedKingdomTime, listed until 2026/04/01 04:59 AM
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LevelBachelor Degree or equivalent Skills/Qualifications Experiencia investigadora. Colaboración grupos 5%, Publicaciones 5%. Conocimientos en análisis de datos o Machine Learning. 10%. Experiencia C++/Python 10
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the CARINA project which is funded through a Research Ireland Frontiers of the Future grant. CARINA stands for Combining Machine Learning with Forefront Astronomical Instrumentation to Probe Intermediate Mass
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or electrochemical system PhD in Chemistry/Materials Science/Physics Encourage initiating activities on MOF development, devising, and analytical process Experience in machine learning will be preferred Good oral and
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DC-26094– POSTDOC/DATA SCIENTIST – AI-DRIVEN CLIMATE RISK MODELLING AND EARLY WARNING SYSTEMS FOR...
abiotic resources. We integrate remotely sensed information with in-situ data, process-based models, and leverage satellite communication, IoT and machine learning technologies in order to provide evidence