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Field
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their chemical structure and composition through structure–processing–property correlation analysis and model-based optimization of processing parameters. Leveraging these methods, we will demonstrate
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optimization for monoclonal antibody discovery. Conduct mouse monoclonal antibody generation using hybridoma technology. Carry out antibody characterization (binding affinity, specificity, epitope mapping
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a PhD in machine learning, math, stats, physics, or some other technical area by the time the position starts. Additional Qualifications Candidates should have significant experience in some area of
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extensive use of 3D printers for fabricating custom parts, modifying and optimizing 3D printer hardware and firmware to meet experimental requirements, and integrating these systems into functional laboratory
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Job Requirements: A PhD degree in Mechanical Engineering, Chemical Engineering, or a closely related field Strong knowledge of electrochemistry and multiphysics modelling in electrochemical systems
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15th March 2026 Languages English Norsk Bokmål English English PhD Fellowship in Real-Time Multi-Objective Well Placement (Geosteering) in the North Sea Apply for this job See advertisement Job
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, benchmarking, and large-scale evaluation of proposed methods Publish high-quality research outcomes in top-tier international conferences and journals Collaborate with faculty, postdoctoral researchers, and PhD
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of optimizing pipelines for large-scale genomic projects. Special Instructions Required documents: CV Research summary of PhD work. Cover letter describing your interest in the lab and initial ideas for new
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optimizing fabrication and testing processes for new devices. Qualifications PhD degree in Electrical Engineering, Materials Science, Mechanical Engineering, Biomedical Engineering, or a related field with
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) Positions PhD Positions Application Deadline 7 Apr 2026 - 23:59 (Europe/Oslo) Country Norway Type of Contract Temporary Job Status Full-time Hours Per Week 37.5 Offer Starting Date 19 Aug 2026 Is the job