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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 17 days ago
data analysis methods to study biological memory circuits and their applications to machine learning. Building on recent work from the Fiete Lab, the role focuses on identifying principles of biological
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motivated research assistant with a PhD degree and interest in bioinformatics or computational biology. The candidate will develop methods using liquid biopsy next generation sequencing data for cancer
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development, radiative transfer modeling, and satellite data analysis. While associated with a sponsored project, the postdoctoral associate will also have opportunities to contribute to broader group research
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PhD in Plant Science, Plant Ecology or equivalent, have experience with designing and analyzing large-scale greenhouse experiments and publishing the results in peer-reviewed journals. Understanding
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3 Apr 2026 Job Information Organisation/Company Aalborg Universitet Department The Technical Faculty of IT and Design, Department of Computer Science, Section for Human Centered Computing Research
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1 Apr 2026 Job Information Organisation/Company Center for Theoretical Physics PAS Research Field Physics » Other Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions
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advanced data science, using state-of-the-art human stem cell models to uncover previously unrecognized environmental risk factors for Parkinson’s Disease. You will, in close collaboration with a PhD student
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of AI and Data Science : Machine and deep learning, NLP, BDI (Belief-desire-intention) systems, and Large Language Models (LLMs). Expertise in design and very good programming skills (Python, Pytorch
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, large language models, or computer vision is preferred Knowledge, Skills and Abilities: · Teamwork: Ability to collaborate with others and contribute to a team environment · Communication
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motivated research assistant with a PhD degree and interest in bioinformatics or computational biology. The candidate will develop methods using liquid biopsy next generation sequencing data for cancer