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YOUNG RESEARCHER IN THE FIELD OF EARLY DETECTION OF THE HEALTH STATUS OF PLANTS USING REMOTE SENSING
for interdisciplinary research work; Basic knowledge of multivariate statistics and machine learning; Good written and spoken English skills; Mandatory (for more information please contact kadri@kis.si ): Fulfillment
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, Certification, and/or Specialized Training: • None Knowledge, Skills & Abilities: • Knowledge of principles and practices related to service learning, community engagement, and experiential education in
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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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Information Systems or Management Information Systems, 3 years of academic administrative experience in a collegiate setting, have basic knowledge of proposal writing and grant administration, and hold the rank
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strategies Basic knowledge of ROS2 (Robot Operating System) and simulation techniques Hands-on experience with machine learning algorithms and developing/testing complex software systems Basic understanding
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to catering. Ability to work flexibly on evening and weekends. Computer literate, willing to learn the use of IT systems for bookings information and stock ordering.
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distributed wireless systems" which is conducted in collaboration between Linköping University (LiU) and Lund University (LU). Read more here: https://elliit.se/project/machine-learning-for-sensing-in
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/ Science Cognitive Science Data Science / Data Science Quantum Machine Learning Computational Science and Engineering / Natural Language Processing Computer Science / Learning at Scale Data Analytics
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experience in computational and machine learning approaches for use in the quantitative measurement of human learning and its associated behaviors and motivational constructs. A strong applicant will hold Ph.D
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*• Experience in Python or another programming language (projects, GitHub repositories, courses, scientific use).• Training or experience in machine learning and data science applied to environmental or energy