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high-dimensional omics data, identifying predictive biomarkers, and understanding cancer heterogeneity. Projects include modeling of bulk and single-cell transcriptomic profiles, integrative multi-omics
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 2 months ago
background in reinforcement learning, diffusion models, and geometric deep learning. 3. Candidates with experience working with antibody (or other molecule or material) design will be considered a significant
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Researcher (R2) Positions Postdoc Positions Application Deadline 31 Mar 2026 - 00:00 (Europe/Prague) Country Czech Republic Type of Contract To be defined Job Status Full-time Hours Per Week 40 Is the job
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multidisciplinary approach that combines expertise from computational sciences and chemistry to pharmacy and medicine. The convergence environment will include three PhD positions and one postdoc position
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are eager to carry out research on statistical issues related to models and multiple sources of data describing ecological dynamics. The PhD project will address the following aims: 1) Develop efficient tools
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21 Jan 2026 Job Information Organisation/Company Université de Caen Normandie Research Field Chemistry Researcher Profile First Stage Researcher (R1) Positions Postdoc Positions Application Deadline
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electrical characterization of quantum emitters Defect modeling and identification The PhD research fellow will be affiliated with the Solid-State Physics and Quantum Technology research group at UiO with
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Monitoring Duties & Responsibilities: Build early warning and clinical deterioration prediction models Develop continuous clinical risk trajectory modeling frameworks Model time-series data such as vitals
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Details Title Postdoc Fellow in Advanced AI for Energy/Power Grids School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Electrical Engineering / Applied
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postdocs (spatial forest ecology and philosophy/social science). The candidate is expected to contribute toward developing wholistic adaptive management systems. BioM is an interdisciplinary Convergence