Sort by
Refine Your Search
-
networks, for their analysis and optimization, we use tools such as artificial intelligence/machine learning, graph theory and graph-signal processing, and convex/non-convex optimization. Furthermore, our
-
specific transcription factors using targeted mRNA delivery technologies, with the vision of enhancing responsiveness to immune checkpoint inhibitors. Key Responsibilities: Design, execute, and optimize
-
Postdoc in Genetic Engineering of Green Microalga Chlamydomonas Reinhardtii with the Purpose of A...
. Recent studies identified natural bio-converters, such as bacteria and fungi that contain efficient PET-degrading enzymes (PETases). These PETases are currently being optimized to enhance their enzymatic
-
techniques. Preferred Qualifications: · Demonstrated ability in the design and optimization of synthetic strategies and approaches for the production of lipids and/or polymers · Proficiency with the analytical
-
optimization Who we are At the Department of Agroecology, our main goal is to contribute to sustainable solutions to some of the world’s biggest problems within the areas of soil, plants, animals, humans, and
-
of proteins expertise in all common molecular biology methods expertise in the use of standard biological and structural biology software and online resources optimally: experience in ChIP-seq analysis
-
translation to therapy. The University of Miami Miller School of Medicine and the Sylvester Comprehensive Cancer Center are an optimal environment for career growth. The Department of Molecular & Cellular
-
researcher in structural bioenergetics (m/w/d) Your tasks Production, purification and downstream optimization of terminal oxidase samples for structural studies via cryoEM. Stable adjustment and spectroscopic
-
and optimize advanced protocols (e.g., single-cell assays, CRISPR-based screens) Collaborate with an interdisciplinary network of computational biologists, clinicians, and international research
-
(EKFZ: https://ekfz.uni-goettingen.de) Your tasks Large-scale and in-depth characterization of optimized Channelrhodopsin variants for basic research in neuroscience and future optogenetic therapies