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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 3 months ago
, produce work for publication, support the AUG team, and present work at scientific conferences. REQUIRED: General knowledge of fusion-grade plasma physics; a Ph.D. (or its equivalent) in plasma physics
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, produce work for publication, support the AUG team, and present work at scientific conferences. Job Requirements REQUIRED: General knowledge of fusion-grade plasma physics; a Ph.D. (or its equivalent) in
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Job Purpose To make a contribution to an ERC-funded project Dynamic network reconstruction of human perceptual and reward learning via multimodal data fusion, working with Prof. Marios Philiastides
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immunotherapeutic approaches for fusion oncogene driven AML towards a career in academics, biotechnology or pharmaceutical industry. The applicant should have a strong background in immunology, cancer biology
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: 22.01.2026 Job description: DESY We are launching a national laser development project for laser fusion, dedicated to breaking new ground in laser science and technology. Its goal is to develop the next
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Postdoctoral Positions for Computational Genomics, Cancer Genetics, and Translational Cancer Biology
recurrent gene fusions (ESR1-CCDC170, BCL2L14-ETV6, RAD51AP1-DYRK4) and intragenic rearrangements (IGRs)—a largely unexplored class of genetic aberrations. Precision immuno-oncology: Develop next-generation
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immunotherapeutic approaches for fusion oncogene driven AML towards a career in academics, biotechnology or pharmaceutical industry. The applicant should have a strong background in immunology, cancer biology
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. The LPP is structured around three thematic research pillars: space plasmas, low-temperature plasmas (cold plasmas), and fusion plasmas. The Space Plasma group includes about 29 permanent researchers and
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: Design and train vision–text transformer architectures for multimodal fusion (RGB + thermal, intraoperative video, OR signals, EHR, surveys); develop temporal and cross-attention components
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physics, fusion research, life sciences, and materials science. Furthermore, these efforts to enhance data readiness for AI workflows may play a significant role in contributing to the goals of the 2025