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settle into the team and are given structured training for your tasks. We also support you from the very beginning and make your start easier with our Welcome Days and Welcome Guide: https://go.fzj.de
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Location: Hybrid working between home and Optimal Risk Reading Office Job purpose This role will lead the technical development of a Rural Crime Information Platform, integrating social media
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optimization. • Microstructural, chemical, and morphological characterization of coatings and substrates. • Design and execution (or coordination) of irradiation campaigns and post-irradiation examination
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of the experimental approach will include: Bayesian reconstruction of events on billion-year timescales, determination of optimal embeddings and encodings for protein structures, multiple structural alignments
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ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI INGEGNERIA CIVILE, CHIMICA, AMBIENTALE E DEI MATERIALI | Italy | 26 days ago
. Structural optimization and numerical modeling. Where to apply Website http://www.unibo.it Requirements Additional Information Eligibility criteria to apply for research grants fill out the form available
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-nitrophenyl phosphate). Biophysical determination of the affinity and binding mode of potential inhibitors using TSA and MST techniques. Structural characterization of PtpA-inhibitor interactions – Optimization
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Center for Biologics Evaluation and Research (CBER) | Silver Spring, Maryland | United States | about 20 hours ago
how synonymous sequence changes affect mRNA structure, translation kinetics, codon usage bias, ribosome dynamics, and protein folding trajectories. You will be able to leverage in silico platforms
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Classification Title: Postdoctoral Associate Job Description: Join a dynamic structural biology group, where we push the boundaries of molecular visualization and membrane biology. Our lab
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, nanostructuring, porosity) and their surface/interface physico-chemistry (functionalization, topography) in order to modulate or optimize their properties. The heterogeneous and complex structure of the studied
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and Machine Learning, with a focus on studying geometric structures in data and models and how to leverage such structure for the design of efficient machine learning algorithms with provable guarantees