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in data integration, model design, and large-scale training by combining multi-modal scientific data, knowledge graphs, physics-aware machine learning, and GPU/HPC computing to develop transparent and
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in high content microscopy and image analysis programs. Familiarity preparing material for single-cell sequencing, comfort working with large data sets. Working knowledge of statistics, proficiency
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systems, large multimodal foundation model training and/or finetuning, and continuous learning pipelines. Experience in multi-modality data analysis (e.g., image, video, text). Experience working in
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. Requirements: PhD completed less than 7 years ago in Computer Science or related areas; experience in machine learning and data science (supervised/unsupervised models, recommendation and evaluation/robustness
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(Investigating how climate change may increase risk of zoonotic spillover by changing human and wildlife movement, stress, and behavior). This position requires a PhD in ecology, disease ecology, epidemiology
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3 Apr 2026 Job Information Organisation/Company Biotechnical Faculty, University of Ljubljana Department Department of Agronomy, Chair of Soil and Environmental Science Research Field History
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for a research environment where scholars can utilize state-of-the-art Large Language Models (LLMs) to interrogate their data with open infrastructure, ensuring that the future of SSH research remains
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Fellow with a PhD in Computational Biology, Bioinformatics, Biostatistics, Data Science, or a related quantitative field to join an interdisciplinary research program focused on Alzheimer’s disease (AD
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at CRAG (from basic science to applied research using plant experimental model systems, crops and farm animals) make extensive use of genomic technologies and large sets of genetic and genomic data (https
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hold a PhD degree, or have obtained one at the expected start date, in data science, epidemiology, or a related discipline. International applicants are encouraged to apply for the position. Applicant