Sort by
Refine Your Search
-
a focused research program in Artificial Intelligence (AI) and Mathematics. The primary objective of this program is to harness machine learning tools, with a particular emphasis on reinforcement
-
an enthusiastic and creative electronics team within the multidisciplinary Optical/Infrared (OIR) Instrumentation group. While fostering a community of respect, learning, and individual growth, the OIR
-
. While fostering a community of respect, learning, and individual growth, the OIR group designs, fabricates, and commissions astronomical instrumentation systems for ground-based observatories such as
-
, or therapeutic leads. Collaborate with machine learning researchers to interpret sequence–function relationships and validate predictive models. Design and carry out SAR studies for peptide or oligonucleotide
-
dedicated to network R&D developments. We are looking for an eager self-motivated person who can quickly learn to deal with both hardware and software cluster issues as well as grid issues as needed, who will
-
analyses, and data visualization. Application of latest developments and algorithms from computer vision and machine learning to spatial data analyses in geosciences. Experience working with satellite
-
multiple projects and assignments effectively with minimal supervision. Strong computer skills, including experience with Microsoft 365 and use of protocol application databases. Preferred Qualifications
-
the cloud. Experience with Machine Learning. Experience with Open-Source software. Communication among diverse stakeholders in a large project environment. Required Documents Cover letter Curriculum Vitae
-
, Keck, and the planned Thirty Meter Telescope Observatories, while fostering a community of respect, learning, and individual growth. The qualified mechanical engineer will contribute to instrument and
-
. Strong skills using large databases. Experience or keen interest in applying the skills of a data scientist, such as data wrangling and machine learning, to streamline data processing. Peer-reviewed