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. The successful candidate will work both independently and collaboratively within a multidisciplinary research environment and will contribute to the training and mentoring of graduate and undergraduate students
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Job Type Staff Job Description Our Commitment Texas A&M University is committed to enriching the learning and working environment by promoting a culture that respects all perspectives, talents & lived
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join a highly collaborative, interdisciplinary research environment focused on developing and applying cutting-edge machine learning and deep learning methods to abdominal imaging. Working alongside
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stimulating work environment, which enjoys an international reputation as a world-class centre of excellence. Our research plays a key role in tackling many global challenges, from reducing our carbon emissions
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environment and commitment to participating in Schmidt Center activities For full consideration, candidates must submit the following documents: CV and a cover letter, which may include potential avenues
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Max Planck Institute for Chemical Energy Conversion, Mülheim an der Ruhr | M lheim an der Ruhr, Nordrhein Westfalen | Germany | 20 days ago
well as surface science techniques generally, is an advantage Readiness to learn and apply new experimental techniques Willingness to work in an interdisciplinary field and an international work environment Fluency
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thereafter. The position is a fixed-term full-time position for 2 years. The department of Biomedicine prioritises diversity and a good work environment, as this is a prerequisite for groundbreaking research
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/Registration/Certification NA Physical Requirements · Ability to work in a laboratory environment for extended periods (standing, walking, repetitive tasks) · Ability to lift and move up to 25–30 pounds · Fine
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Max Planck Institute of Animal Behavior, Radolfzell / Konstanz | Konstanz, Baden W rttemberg | Germany | 22 days ago
environment that opens up unique research opportunities. The goal of our basic research is to develop a quantitative and predictive understanding of the decisions and movements of animals in their natural
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multimodal data analysis is preferred; experience with R, machine learning, or advanced statistics is a plus. Training and Research Environment: The successful candidate will receive interdisciplinary training