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across a range of application areas, including education and healthcare. As these systems are increasingly deployed in high-stakes environments, there is a growing need for machine learning models
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on the candidate’s experience and qualification. Candidates should have a PhD in Engineering, Cognitive Psychology, or a related field. Additional Qualifications include: Required Record of peer-reviewed publications
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: Education: PhD in Microbiology, Immunology, Biochemistry, Molecular Biology, or related field. This position requires a formal degree in the cited discipline area(s) to ensure that candidates have advanced
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Welcome to Maastricht University! You just finished your PhD trajectory and looking for the next step in
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IOCB Prague (Institute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences) | Czech | 2 months ago
, cheminformatics or bioinformatics PhD degree in a related field, obtained no more than 5 years ago Good track record of scientific publications and achievements Excellent computer skills including scientific code
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of work: We combine a unique methodology of recording the activity of single neurons in humans with advanced analytical approaches, such as machine learning and multidimensional analyses, to better
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journals and conferences. Required Qualifications • Ph.D. in Electrical and Computer Engineering, Computer Science, or a related field. • PhD must be awarded no more than four years prior to the effective
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. Mandatory requirements: Demonstrated knowledge of machine learning techniques and programming, with extensive experience in data analysis using Python and R. PhD in Economics, with expertise in health
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end on August 31, 2027. Renewal is dependent on the need for extension and/or if additional funding is secured to extend employment. Required Qualifications: A PhD in the area of plant breeding, plant
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autonomous, closed-loop (“self-driving”) laboratory workflows. The role integrates catalyst synthesis, high-throughput reactor testing, and in situ/operando characterization with machine-learning and agentic