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University of Massachusetts Medical School | Worcester, Massachusetts | United States | about 1 month ago
modalities Developing and applying polygenic risk scores and causal inference models to predict disease onset, progression, and treatment response Implementing machine learning and statistical genetics
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4 Oct 2025 Job Information Organisation/Company Università di Pisa Research Field Medical sciences » Medicine Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1) Established Researcher (R3) Country Italy Application Deadline 3 Nov 2025 - 13:00...
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 29 days ago
for individuals that are interested in pursuing a PhD in economics or finance. The chosen candidate will also gain valuable experience in the application of machine learning and Bayesian inference methods
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Research Assistant Professor (Non-tenure Track)- Biology Department - (25001172) Description The Cordes Lab in the Department of Biology at Temple University is seeking a Research Assistant
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for experiments using reinforcement learning, Bayesian methods, image analysis and data analysis. Collaborate with interdisciplinary teams, including machine learning experts, device modelling specialist
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). o Software and hardware co-design. Indicative skills/experience: - Designing for real-time inference and hardware acceleration. - Knowledge of runtime reconfiguration, latency profiling, and dataflow
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Computation , Quantum Information , Quantum Information Science , Quantum Simulation , simulation-based inference Cosmology / Particle Astrophysics/ Gravitational Physics , particle phenomenology and
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://ecoanthropologie.fr/fr/anthropologie-genetique-agene-6043 ), whose research focuses on three areas: (i) settlement history and inference of demographic processes, (ii) adaptation of human populations
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site, the Institut Pprime is recruiting a Researcher as part of the INFERENCE project funded by the Agence Nationale de la Recherche (ANR) and Nouvelle Aquitaine Region to work on the Modeling and
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methods for load identification and modelling to infer load behaviour from measurements at the grid supply point (GSP). Your work will help determine whether new load types need to be defined in the CLM