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magnetic response. Development of machine learning methods for exchange-correlation functionals. Current work in the group is focused on improvements and performance optimizations for the recently developed
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optimization of connectors Fabricate connectors and conduct lab tests Publish several papers in top journals. Write proposals for further development. Mentor students Job Requirements: PhD degree in civil
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and wave-equation–based modeling, including familiarity with adjoint-state methods, gradient-based optimization, and multi-scale inversion strategies. Proven expertise in machine learning and deep
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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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development, optimization, and validation of in vitro mammalian cell based assays that are related to metabolic diseases (such us cell culture, RNA/protein extraction qPCR, western blotting and other metabolic
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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
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identified from Singapore medicinal plants Job Requirements PhD in Chemistry or related field At least 5 years of relevant postdoctoral or industry experience in organic chemistry and/or medicinal chemistry
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of fertilizers into the soil. The project aims to develop and optimize innovative porous carriers to enhance fertilizer efficiency, controlled release, and sustainability in agricultural applications
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findings at conferences. Assist in troubleshooting and optimizing fabrication and testing processes for new devices. Qualifications PhD degree in Electrical Engineering, Materials Science, Mechanical
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Engineering. Admission requirements: Candidates must cumulatively meet the following requirements: Requirement 1: Be enrolled in a PhD programme in Data Science and Engineering; Electrical and Computer