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: Minimum Qualifications: PhD in epidemiology or a related field . Desired Qualifications: Familiarity with programing language (Stata/R/SAS.); experience in veterinary epidemiology, qualitative research
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are also available. Applicants must have, or be about to obtain, a PhD in materials science, physics, or related discipline with experience in the design and conduct of experiments. Some experience with
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presenting the results of the project. Additional Information: Required Education and Experience: PhD in natural product chemistry or related fields, and experience in data management Desired Experience: Has
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help in our review. You may upload them on the application under the CV/Resume section. Qualifications: Required Education and Experience Appropriate PhD in Information Science or in a related field. Not
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Austrian Academy of Sciences, The Institute for Quantum Optics and Quantum Information Vienna (IQOQIVIE) | Austria | about 2 months ago
, or interpretation of theoretical models or experimental data. Contribute to the preparation of research proposals and collaborative grant applications. Provide scientific guidance and mentoring to PhD students and
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Electrocatalysis who has: a PhD in chemical engineering, chemistry, materials science, physics or a closely related discipline, completed by the start date deep understanding of electrochemistry/electrocatalysis and
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appropriate maintain accurate research records and comply with laboratory safety and regulatory requirements collaborate effectively with multidisciplinary research teams and external partners About you a PhD
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have: A PhD in electrical engineering, energy engineering, mechanical engineering, control engineering, operations research, applied mathematics, or a closely related field. Documented experience in
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MD, PhD, or MD/PhD degrees and experience in a variety of molecular techniques, animal experiments, and data analytics are encouraged to apply. The ideal candidate will spend at least two years in
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profile through top publications and conferences. Shaping the future of AI for science across academia, industry, and entrepreneurship. What you'll bring Essential PhD in Machine Learning, Artificial