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VikingGenetics. This state-of-the-art system enables large-scale, non-invasive measurement of body weight in over 30,000 cows directly in their production environment. This PhD project will leverage the extensive
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Applicants are invited for a PhD Fellowship/Scholarship at Graduate School of Technical Sciences, Aarhus University, Denmark, within the Biological and Chemical Engineering programme. The position
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At the laboratory of Associate Professor Kumar Somyajit, we seek a highly motivated PhD student with strong background in cell biology and prime interest in cell cycle, genome maintenance, cancer
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applications for PhD research fellowship position(s) within the field of machine learning, AI Safety, and mechanistic interpretability, to be filled earliest by 1 January 2026 for a period of three years
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call. This programme is open to early-career researchers from all disciplines, including Humanities, Social Sciences, Natural Sciences, Health Sciences, and Engineering. Based at the University
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profile Applicants should hold a PhD in molecular and cellular neurobiology or similar. Experience in primary neuron cultures and rodent in vivo models is necessary Experience with super-resolution
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profile Applicants should hold a PhD in molecular and cellular neurobiology or similar. Experience in primary neuron cultures and rodent in vivo models is necessary Experience with super-resolution
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interest in translational cardiovascular research. Essential qualifications: PhD in bioinformatics, computational biology, systems biology, or a related field Proven experience in analyzing mass spectrometry
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, probabilistic graphical models, physics/dynamical systems. Qualifications: The candidate is expected to hold (or be about to complete) a relevant PhD degree in Computer Science, Artificial Intelligence or another
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, probabilistic graphical models, physics/dynamical systems. Qualifications: The candidate is expected to hold (or be about to complete) a relevant PhD degree in Computer Science, Artificial Intelligence or another