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hands-on experience in an EM laboratory Ability to organize and execute several projects in parallel Ability to work collaboratively in a team as well as independently on a wide variety of research
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environment. Expand your technical expertise while supporting research projects across multiple academic fields, applying advanced techniques such as large-scale data processing and GPU-accelerated computing
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biophysics -experimental and/or computational genomics -computer science, statistics, and/or machine learning with applications relevant to genomics -bioinformatics -population genetics / genomics
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Computer Science Department at Princeton University. We seek candidates with computational biology, bioinformatics, computer science, machine learning, statistics, data science, applied math and/or other
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several projects in parallel Ability to work collaboratively in a team as well as independently on a wide variety of research projects Excellent communication skills Detail-oriented, focused, and highly
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. At least 4 years hands-on experience in an EM laboratory Ability to organize and execute several projects in parallel Ability to work collaboratively in a team as well as independently on a wide variety of
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the following areas as demonstrated through at least one first-author publication: computational biology/bioinformatics, cheminformatics, analytical chemistry/mass spectrometry/metabolomics, or machine
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with the use of laminar/neuropixel probes and electrical microstimulation to study attention and decision making networks in a behaving animal model together with parallel studies in humans. The project
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and bioinformatics The first year of the program combines taught courses with laboratory rotations to broaden the student’s knowledge of the subject area. At the end of the first year, students will
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. Previous experience in computational modeling of atmospheric aerosols and parallel computing/software development is strongly desired. The term of appointment is based on rank. Positions at the postdoctoral