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used. AI methods for generating regulatory hypotheses between genes, hormones and physical properties will also be developed. Applicants must have/be close to obtaining a PhD or MPhil in Computational
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of our key research directions relevant for this position. Candidates should have (or be near to completing) a PhD in Computer Science or a related subject, or relevant experience. A high degree of
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Liverpool where, in the School of Computer Science and Informatics, we have an active group of PhD students, postdocs, and academics working at the intersection of Machine Learning, Verification and
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Europe | 27 days ago
4 Doctoral Candidate (DC) positions as part of the Horizon Europe MSCA-DN program, focusing on cutting-edge Multicore Fiber Applications and Technologies.DC 1 – OpenProject Title: Impact of extra
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Previous Job Job Title Research Assistant or PhD Candidate Research Assistant Next Job Apply for Job Job ID 369568 Location Twin Cities Job Family Graduate Assistants Full/Part Time Part-Time
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stakeholders. Demonstrated ability to manage iterative feedback cycles and refine deliverables accordingly. The skills, qualifications and experience required to perform the role are: A PhD in Computer
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executing data collection and analysis for multiple research projects, with special attention to Crisis Response projects. Candidate must have a degree – preferably a master’s degree, PhD, or PhD candidate
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executing data collection and analysis for multiple research projects, with special attention to Youth Justice projects. Candidate must have a degree – preferably a master’s degree, PhD, or PhD candidate
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Senior Researcher in Synthetic Biology and Metabolic Engineering of power-to-X utilizing Microorg...
. Responsibilities and qualifications Your overall focus will be to establish and lead a strong research program in the field of synthetic biology and metabolic engineering of non-model microorganisms, with the aim
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the supervision of Dr. Robert Froese. This PhD student will address the DIVERSE project theme focused on the assessment and mapping of functional diversity and redundancy at the national scale, using remote sensing