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amenities and accessibility Additional information The starting date of the position is negotiable, preferably no later than January 1, 2027 The successful candidate will be offered an initial full-time fixed
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17 Jul 2026 Job Information Organisation/Company Nencki Institute of Experimental Biology Department Laboratory of Neurophysiology of Mind Research Field Biological sciences » Biology Researcher
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University of California, Los Angeles | Los Angeles, California | United States | about 2 months ago
molecular biology techniques. • Strong background in fermentation, culturing, and physiological characterization. • Hands-on experience with analytical instrumentation (HPLC, LC-MS, GC-MS, or NMR). • A strong
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sampling, or environmental monitoring Experience in data management, open science, and reproducible analytical workflows Experience publishing research in scientific journals Personal qualifications: We
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Harvard T.H. Chan School of Public Health - Haber Lab | Boston, Massachusetts | United States | 6 days ago
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Max Planck Institute of Molecular Cell Biology and Genetics, Dresden | Dresden, Sachsen | Germany | 3 months ago
control during embryogenesis. We are seeking a motivated, independent scientist with experience in RNA biology, molecular/developmental biology, biochemistry and/or computational analysis of sequencing data
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design, implementation, and data collection across laboratory, greenhouse, controlled-environment, and field research systems – 50% Seed coating formulation, treatment evaluation, and analytical
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institution systems may be submitted. Click here for detailed information about acceptable transcripts. A current resume/CV, including academic history, employment history, relevant experiences, and
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excellent organisational and analytical skills, with the ability to independently manage your own research activities while contributing effectively within a team. Experience training and mentoring colleagues
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. This opportunity will prepare candidates for a range of competitive positions in academia or industry that involve computational biology/chemistry, machine-learning for biological or chemical data, metabolism, and