-
& Catalysis 3. Energy-saving Materials and Technologies 4. Sustainable Exploitation & Utilization of Resources 5. Cycling and Purification of Key Elements 6. Carbon Capture, Utilization, and Storage 7. Machine
-
in vitro. Clive Svendsen, PhD, has significant experience in studying these diseases over the last twenty years and is merging his experience with the use of leading-edge technologies, such as
-
seven computer scientists. Candidates must have a PhD in Biostatistics or Statistics and a record of peer-reviewed publications showing evidence of (for Instructor and Assistant Member, a potential of
-
on rapid development of editing strategies for rare patient-specific mutations. Optimize lead protein candidates by structure-guided design and high-throughput screening. Apply new machine learning
-
computational biology, statistical modeling, machine learning, and artificial intelligence method development with a strong track-record of research in using data-driven approaches to study the molecular and
-
variety of cancer and bioinformatics research projects. Credentials and Qualifications: • PhD in Bioinformatics, Data Science, Computational Biology, Machine Learning, Statistics/Biostatistics
-
of relevant post-degree work experience is required with a Master's degree Six (6) years of relevant post-degree work experience is required with a PhD Preferred Experience Automated high-throughput screening
-
manager to keep lab operations smoothly running. In this position, the candidate will be exposed to multiple, cutting edge techniques spanning cryo-electron microscopy, mass spectrometry, machine learning
-
and sufficient technical background to design and implement hardware and software solutions that facilitate instrument stability, experimental throughput and Center accessibility as well as teach and
-
technique. Delving into cryo-electron tomography, the Center has recently installed a FIB-Milling machine, CrossBeam 550. For correlative light and electron microscopy under cryogenic conditions, an Airyscan