Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
: 272349279 Senior Research Software Development Manager (Genomics/BioInformatics) US-NJ-Princeton Job ID: 2025-20557 Type: Full-Time # of Openings: 1 Category: Academic Administration Overview
-
coupled discharges employed in plasma processing, coupled with a proven track record of kinetic modeling of such discharges. The candidate should be familiar with machine-learning principles for science
-
) of numerous NASA Heliophysics missions and Space Flight Instruments, including a $750M mission that launches this year. The Laboratory Manager will report directly to the PI in parallel with the Executive
-
. The Laboratory Manager will report directly to the PI in parallel with the Executive Director of Space Physics. The Laboratory Manager will ensure all lab procedures and protocols are met according
-
: Princeton, New Jersey 08540, United States of America Subject Areas: Biochemistry / Biochemistry , Bioinformatics , Cell Biology , Cellular Biology , Chemical Biology , Mass Spectroscopy Biology / Genomic
-
publication: computational biology/bioinformatics, cheminformatics, analytical chemistry/mass spectrometry/metabolomics, or machine learning/computer science.Term of appointment is based on rank. Positions
-
of atmospheric aerosols and parallel computing/software development is strongly desired. The term of appointment is based on rank. Positions at the postdoctoral rank are for one year with the possibility
-
genomic data for reconstructing evolutionary patterns and processes that have shaped biological history across deep timescales. The ideal candidate will have a background in phylogenomics and bioinformatics
-
/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 is part of a NIMH Silvio O
-
patterns and processes that have shaped biological history across deep timescales. The ideal candidate will have a background in phylogenomics and bioinformatics of squamate reptiles; the largest group