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The Analytical Chemistry Group invites applications for a 4-year assistant professorship in machine learning–based non-target screening of contaminants, CECs and other complex chemical mixtures
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 1 hour ago
the regulatory science of targeted therapies, including peptides and oligonucleotide therapeutics (ONTs), through the integration of nonclinical safety data evaluation and Model-Informed Drug Development (MIDD
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Research Institute (Time spent at both universities) Project description: Nanobody-based precision targeting tools for theranostic applications in gynaecological cancers Swansea University and Houston
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Part-time (0.6 FTE) fixed-term position until June 2028 for a dedicated Senior Program Project Officer (Targeted) Location flexible with regular travel expectations, University Centre for Rural
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Assistant III to join the Brain Targeting Program (BTP) team and support antibody brain shuttle compound screening and validation in vivo and in vitro. The mission of the Wyss BTP is to develop a robust
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Department: Chemical Engineering Title: The mitochondrion as an engineering target for mammalian cell factories Application deadline: 24/07/2026 Research theme: Biotechnology How to apply: https
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This is a unified application form for all positions in the Beyesian Deep Learning group at KAUST led by Prof Maurizio Filippone, including Research Intern MS/PhD Student PhD Student Postdoctoral Fellow Research Scientist This lightweight form is intended as a first point of contact, and should...
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Are you interested in advanced computational modelling and state-of-the-art scientific software? Join us in creating the Bayesian multiverse: a computational framework for robust statistical analyses
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experimental collaborators to translate computational findings into testable hypotheses, biomarkers, therapeutic targets, and decision-relevant insights. The successful candidate will be expected to participate
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and research in several areas. These include, but are not limited to: Adversarial location and network interdiction models Adversarial machine learning attacks and defense (e.g., against Bayesian