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, and trajectory interference to trace cellular processes. May assist, or mentor graduate students who are working on research related to the project. Qualifications Appropriate PhD in a related field. A
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–make–test–analyse (DMTA) cycle operated jointly with the paired medicinal chemistry postdoc. Who we’re looking for: A PhD in structural biology, biophysics, biochemistry, chemical biology, or a closely
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scientists wanting to transition from PhD student to junior group leader. It supports young scientists in exploring their own ideas and testing new hypotheses. High-risk, high-gain projects are encouraged
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constructs and within-person change, as well as spoken narrative data. The overarching goal is to characterize longitudinal trajectories of core computational constructs (e.g., reward learning, decision-making
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work in a small, well-equipped group, with room to shape the chemistry and the freedom to follow what the results suggest. About you Applicants must hold a PhD in polymer chemistry, materials chemistry
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As a postdoctoral researcher, your primary responsibilities will be: Develop machine learning and deep learning models, with a strong focus on computer vision, for the characterisation and
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degree (PhD or equivalent) in Statistics or Biostatistics. Solid training in statistical methods. Experience analyzing clinical trial data. Excellent written and verbal communication skills. Strong
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reinforcement learning. The project will investigate a simulation platform that reproduces the structure of real prospection activities by integrating multiple, heterogeneous geospatial and archaeological data
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developing leaders who are empowered to halt the climate crisis and create an environmentally sound future for generations to come. To learn more about SEAS and our values, please visit our website at https
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county across the state, Texas A&M AgriLife is uniquely positioned to improve lives, environments and the Texas economy through education, research, extension and service. Click here to learn more about