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DC-26094– POSTDOC/DATA SCIENTIST – AI-DRIVEN CLIMATE RISK MODELLING AND EARLY WARNING SYSTEMS FOR...
: https://www.list.lu/ How will you contribute? You will be part of LIST’s Remote sensing and natural resources modelling group Embedded in the Environmental Sensing and Modelling (ENVISION) unit
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technology Researcher Profile First Stage Researcher (R1) Application Deadline 14 May 2026 - 21:59 (UTC) Country Sweden Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research
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, color, national origin, disability, religion, protected veteran status, military service, genetic information, sex, sexual preference, or pregnancy. Questions or concerns about the application of Title IX
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kitchen tools, cleaning equipment, and following safety protocols. Benefits: Skidmore College offers employees generous benefits including health insurance plans, paid time off and holiday pay, a retirement
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between cloud-based and on-premises data sources and destinations Proficient with computer applications and programs associated with the position (i.e., Microsoft Office suite and other collaboration tools
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School graduates over a thousand students who are ready to take on great ambitions and challenges. For more details, please view: https://www.ntu.edu.sg/eee We are looking for a Research Assistant to
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in machine learning theory and practice: you understand not just how to use tools, but how they work Deep learning expertise with modern frameworks (PyTorch, TensorFlow, JAX) Experience developing
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and adapt machine learning and deep learning models (e.g., convolutional and transformer-based architectures) to biological questions in collaboration with investigators. Develop interpretable models
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. Additional Qualifications: Knowledge of machine learning tools such as penalized logistic regression, XGBoost, neural networks. Knowledge of modeling strategies including propensity score weighting and doubly
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: Specialist, Learning Management Systems Department: CN eLearning Campus Location: Connect Campus Employee Classification: CSV - Computer Sciences Position Type: FT - Regular Grant Funded: No Compensation