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Campus. The research program uses mammalian cell culture and microscopy‑based approaches to study aging, stress response, cancer, and vesicle trafficking, with strong translational relevance
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candidates should have independent research skills and demonstrate a track record of success in the laboratory. Candidates with experience in mouse tumor models, T cell culture, and flow cytometry
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development of transferable learned representations from large-scale public omics data and metadata, and the software infrastructure needed to build, maintain, and distribute them at community scale, including
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policies Good documentation practices Dedication to professional development and life-long learning Ability to be adaptable, flexible, and to think on your feet Experience with web-based tracking systems and
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Qualifications: Experience with development of R packages or other software Minimum 1-year experience in machine learning methods Knowledge, Skills and Abilities: Excellent communication skills (written and oral
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of its trainees. Our research focuses on aging, anti-tumor immunity, and vesicle trafficking using established models, with strong translational relevance. We welcome candidates with a background in cell
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the course. Vet and revise course learning objectives with the Course Director and Content Directors. Ensure the course schedule and granular information sheet are accurate. Develop and create course content
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controllability • Learning and calibration strategies for uncertainty-aware language model prediction • Knowledge-augmented and neuro-symbolic approaches for language-based reasoning • Evaluation and design of LLM
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software ● Minimum 1-year experience in machine learning methods Knowledge, Skills and Abilities: ● Excellent communication skills (written and oral) using the English language