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qualified candidates to apply for a postdoctoral research position. The research will focus on statistical modeling, machine learning and trustworthy AI to develop effective and efficient algorithms
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: Learning Agility: Ability to learn new procedures, technologies, and protocols, and adapt to changing priorities and work demands. Teamwork: Ability to work collaboratively with others and contribute to a
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the Life Science Campus Heidelberg & Mannheim within the collaborative MULTI-SPACE initiative. Your tasks: Operate and maintain the new MSI platform (Bruker timsTOF fleX MALDI-2) including quality control
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the ability to work together with colleagues and teach and mentor students from diverse backgrounds and perspectives. To apply, candidates should submit a cover letter, curriculum vitae, and contact information
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at the University of Minnesota is home to a strong and collaborative community studying motor learning and motivational control. Our laboratory is also part of the Optical Imaging and Brain Sciences, Medical
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procedures of Stony Brook University and have strong communication and collaborative skills. ● Conduct independent and collaborative research on resilient and communication-efficient distributed multi
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, Pegasus Research Institute (PRI). The candidates will work with Dr. Azevedo and members of his interdisciplinary team at UCF and collaborate with academic and industry partners. The candidates will work
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) prediction models to ensure the safety, efficiency, and longevity of lithium iron phosphate (LFP) batteries. Key Responsibilities: Develop and implement machine learning algorithms for SOC and SOH estimation
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and implement innovative image analysis methods to quantify plant characteristics. Collaborate on multidisciplinary projects involving high-throughput phenotyping platforms. Apply machine learning and
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exceptional postdoctoral research fellows interested in developing deep learning and computational methods for pathology image analysis, multimodal data integration, and other medical modalities (e.g