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responsible AI. Learn more about the lab's work at: https://martinpawelczyk.github.io/ . Tasks and Responsibilities Develop machine learning methods and tools with a specific focus on: Data-Centric AI
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biostatistics/bioinformatics, implementation science, medicine, health economics, social work, sociology, clinical psychology, or epidemiology or related fields. Expertise in research design and data
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tips and samples, including cleanroom nanofabrication Conduction of experiments and data analysis Work in an international group environment Collaboration with internal and external project partners
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intellectually stimulating environment to enable high quality work in strategic directions that are of significant impact to industry, science and technology. For more details, please view https
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numerical methods in partial differential equations, in connection with uncertainty or data science. Specific fields of interest include, but are not limited to, stochastic partial differential equations
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Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V. | Dortmund, Nordrhein-Westfalen | Germany | about 23 hours ago
OMICS Data Analysis research group, we invite applications for a: PhD Candidate (m/f/d) This position is part of the Leibniz Science Campus “Cardio-Oncology Campus for Precision Medicine”, with focus on
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PhD student in generative modeling for data-efficient machine learning Norrkoping Reference number LiU-2026-02831 We are now looking for a PhD student in machine learning with a focus on generative
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Postdoctoral Research Fellows in Proteomics: Neurodevelopment, Cancer and Drug Toxicity, 3 positions
next to the HPC, giving our projects direct access to extensive, state-of-the-art instrumentation across both life science campuses — Viikki and Meilahti. We are hiring in three areas. You may apply
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, Machine Learning, Data Science, or a related field Additional Qualifications If visa sponsorship is needed, Harvard retains the discretion to determine which visa status is appropriate and whether a
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Job Description If you are building your career as a scientist in advanced manufacturing, materials innovation, or simulation/data‑driven process modelling – and you are looking for a PhD position