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in genomics/epigenetics/stem cell biology; experience with tissue culture and NGS/CRISPR • Facilities: Advanced genomics, bioinformatics, imaging, and flow cytometry, plus collaborations across
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, professional communication. Preferred Qualifications PhD in a biomedically relevant discipline, with at least 2 years computational/bioinformatics experience and/or training. Job Duties Responsible for lab data
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and image analysis - Knowledge in in vivo physiology (e.g. calcium imaging) and bioinformatic analysis - Ability to conceive, execute, and complete research projects - Ability to design experiments and
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, statistical, and bioinformatic methods. Prepare manuscripts for peer-reviewed journals and present findings at conferences. Participate in lab meetings, mentor junior scientists, and contribute to a
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has a dedicated computational support team with specialized knowledge of bioinformatics, (geo)database management and scientific programming. IBED also works with non-academic partners to deliver
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organizational skills. Proficient user of Microsoft Office Suite. Skills and ability to perform bioinformatic analysis of transcriptomic data. Skills and ability to perform metabolic analysis (e.g. Seahorse
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Neurobiology, Psychology, or related fields. Experience working with small animal models of neurological disease or trauma, stereotaxic surgery, behavior. Experience in bioinformatics (transcriptomics/proteomics
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(electrophysiological) characterization of membrane transport proteins Proficiency in structural biology and/or bioinformatics and/or data-driven protein design Experience with basic molecular biology techniques (PCR
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. cerevisiae yeast . Expertise in omics methods. . Preferred: ability to perform bioinformatic analyses Interpersonal skills. Independence. Ability to work in a team and adapt to the needs of colleagues
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these bioinformatic experiments. Access to a high-performance computer will be provided. The candidate must be capable of generating complex molecular compound models in silico and using current molecular dynamic