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Field
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in chemistry and biology, approaches for extracting relevant information from foundation models, and/or methods for adaptive experimental design such as active learning or Bayesian optimization
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to the Singapore Centre for 3D Printing (e.g. competitions, conferences and hosting visits) Requirements: Ph.D. in the area of Industrial, Mechanical, and Materials Engineering Engineering Design and Optimization
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data Clear scientific writing and communication; a track record of publications Experience with causal inference Bonus: experience with explainable ML, optimization/decision strategies, or work with EHR
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calls in zebra finches, using pharmacological manipulations and in vivo extracellular electrophysiology. Establish, optimize, and maintain an in vivo electrophysiology system (including ordering and
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of simulation routines that allow for variable façade U-values based on local climate. Optimize the modular panel’s geometry to incorporate an air gap and any necessary openings for the new ventilation system
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other standard career transitions. Research Focus Primary system: a hybrid CAST×129 pluripotent stem cell culture model optimized for ERCE discovery and functional testing. Extensions: flexibility
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congress and information booths · Contributing to the execution of omnichannel and digital strategy within Medical Affairs to ensure optimal orchestration of scientific information to key stakeholders
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are required for neural responses to offspring begging calls in zebra finches, using pharmacological manipulations and in vivo extracellular electrophysiology. Establish, optimize, and maintain an in vivo
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data Clear scientific writing and communication; a track record of publications Experience with causal inference Bonus: experience with explainable ML, optimization/decision strategies, or work with EHR
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outcomes into impactful publications. Key Responsibilities: Design and synthesize novel monomers and polymers Develop and optimize membrane fabrication techniques Conduct advanced material characterization