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/ Bioinformatician to join our collaborative, multidisciplinary research team applying single-cell methodologies to study treatment resistance in ovarian cancer. Vähärautio lab (https://vaharautiolab.org
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at: www.ftf.lth.se , www.nano.lu.se , https://kaw.wallenberg.org/en/research/semiconductor-bandgap-key-future-green-electronics, https://c3nit.se/ Subject description The purpose of this project is to develop a data
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research environment with broad expertise including cardiac, cellular biophysics, imaging, aging, and proteomics. PI commitment to mentoring and career development opportunities tailored to allow
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biological domains is a must PhD in computational biology, computer engineering, computer science, (bio)statistics, artificial intelligence, physics, or related. Desire to push the frontier
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to pathogen survival. The postdoctoral fellow will employ a combination of cell biology, microbiology, molecular genetics, imaging, biochemistry, lipidomics, and metabolic approaches to characterize host
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the sufficient imaging resolutions (sub-20 nm) measurements become slow, and because dose accumulates with every repeated measurement, radiation damage sets a hard limit on how long a process can be
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Job Description Apply now Job Title: Postdoctoral Associate - Cardiac Gene Therapy Division: Surgery Work Arrangement: Onsite only Location: Houston, TX Salary Range: $63,480 FLSA Status: Exempt
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intracranial EEG data from animals. Performs advanced signal processing and time–frequency analyses of neural recordings. Develops and implements computational pipelines using MATLAB, Python, or similar
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Full time, 3 years fixed term, located on the Camperdown Campus at the School of Mathematics and Statistics Join a world-class interdisciplinary team using AI, spatial omics and digital pathology
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cell models. Process human or mouse tissues and isolate, culture, and characterize primary cells. Develop bioengineered tissue models using hydrogels, microfluidics, organ-on-chip technologies