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computational methods for analysis and interpretation of large-scale biological datasets. Experiences in structural homology modelling is not essential but would be advantageous. The post holder will work in a
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execute experiments that advance the frontier of self-optimizing microscopy, including automated alignment, adaptive focusing, drift correction, and AI-assisted atomic structure recognition. The role
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conditions is an advantage. Applicants must be able to work independently and in a structured manner and demonstrate good collaborative skills. Applicants must have good written and oral English skills
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must be able to work independently and in a structured manner, and demonstrate both initiative and good collaborative skills. Applicants must have good written and oral English skills Personal and
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Professor Dario Farina, in the Department of Bioengineering at Imperial College London. The focus of the research will be on the development of soft actuators, from material and structural perspectives, with
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Depression Recovery Clinic ADHD Related Research (with Drs. Arnold and/or Barterian) Structure of Training Program The fellow will spend 3 days in the ADHD clinic providing assessment and individual therapy
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the Ministerial Order on the Appointment of Academic Staff at Universities (the Appointment Order) and the Ministerial Order on Job Structure for Academic Staff at Universities (in Danish) and protocol on certain
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battery deployment Work with CSIRO researchers and electricity distribution network service providers on industry‑relevant research Three‑year postdoctoral fellowship with structured career development
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | 2 days ago
regulatory assessments, and strengthen critical-thinking and scientific communication skills to support evidence-based decision-making in drug development. Under the guidance of a mentor, structured learning
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. Familiarity with computational modeling of structure-function relationship Experience in identifying metabolites in biological samples. Sufficient knowledge in statistical analysis tools (e.g., SAS, R, XLstat