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involved in or lead major projects to understand the genetic architecture of molecular traits alone and in interaction with the environment. S(h)e will help in defining the direction of scientific work
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or lead major projects to understand the genetic architecture of molecular traits alone and in interaction with the environment. S(h)e will help in defining the direction of scientific work, conducting
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natural products for further investigation. The candidate will assist in the isolation and purification of natural products and the subsequent structural elucidation using NMR. When beneficial, chemical
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actively contribute to the NCER-D2ET (Data-Driven Energy Transition Digital Twin) project, a national strategic initiative to develop Luxembourg’s energy digital twin platform. NCER-D2ET aims to design and
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will shortlist top candidates based on all the submitted applications. For each project, the collaborating PIs will plan online lab visits and meetings with top candidates and help them prepare for
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interdisciplinary research project on production of proteins for food based on a feedstock of CO2 and energy. The positions are based at AU Viborg and/or at AU main campus and are expected to begin on 1 September
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A postdoctoral research associate position is immediately available in the lab of Dr. Yunlong Zhao. Project Description: Dr. Yunlong Zhao , Assistant Member in the Center of Excellence for Pediatric
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biochemistry to join a newly funded GPCR collaborative project to investigate the structural dynamics of GPCRs and their signaling partners using biophysical methods, including single-molecule FRET (smFRET
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workshops relevant to AI-driven cybersecurity tools and techniques Assist in drafting research proposals to secure funding for related projects For further information, please get in touch with Dr. Jordan
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Post Doctoral Researcher in Human-Centered AI for Software Engineering, Department of Electrical ...
Empirical Software Engineering (EMSE). This position is funded by Innovation Fund Denmark Grand Solutions project “AI4SE1DK – Human-Centered Adoption of Artificial Intelligence for Software Engineering in