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emerging from this work will be correlated on a regular basis with parallel activities on materials synthesis and spectroscopic characterization. The goal of this project is to understand and predict
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-flows. Basic Qualifications: PhD in mathematics, computer science, engineering, or related field earned within the last 5 years. Preferred Qualifications: Experience with mesh generation/CFD applications
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the BEAT project. In parallel, qualitative research methods, especially from affective interaction design, are used to capture the emotional and experiential aspects of navigating urban spaces. These methods
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Research Scientist, we are seeking a candidate with an MD or PhD with a minimum of two years of post degree research experience in immunology, biochemistry, biotechnology, bioinformatics, microbiology or a
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. Collaborate with PhD students, undergraduate researchers, and postdocs. Writing & Publications Write technical reports and research documentation. Job Requirements: Educational Qualifications BSc, or equivalent
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such as PolySnake (Feng et al., 2024) or Curvi-Tracker (Heng et al., 2026). Diffusion models In parallel to foundation models, the OBELIX team is investigating generative diffusion methods, specifically
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computational approaches, including in vivo Massively Parallel Reporter Assays (MPRAs), to define the sequence basis and functional consequences of enhancer activity and to expand MPRA-based approaches to other
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for Biomedical Imaging (Harvard/MIT/Mass General). In parallel, there will be opportunities to analyze and publish existing data upon identifying areas of mutual interest. The appointment is for one year with a
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members, including postdoctoral fellows, PhD and master’s students, and technical staff. We are equipped with state-of-the-art infrastructure, encompassing a comprehensive preclinical laboratory at
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neurons using multi-omics, cis-regulatory variants will be mapped onto these enhancers and then their function determined by Massively Parallel Reporter Assays (MPRA). The research will involve stem cell