Sort by
Refine Your Search
-
to grow and will occupy a new building in January 2025. The three primary research foci of the department are currently computational genomics (including population and evolutionary genomics), computational
-
, New York 14850, United States of America [map ] Subject Areas: Ecology / Behavioral Ecology , Avian Ecology Biology / Evolutionary Biology Appl Deadline: 2025/08/15 11:59PM (posted 2025/07/24
-
models implemented match user needs and expectations Translate findings into requirements for the engineering team to inform the algorithms, models, annotations, and ultimately the data is made available
-
of Mathematics at Cornell. Members of the lab engage in interdisciplinary research, drawing on approaches from geometry, topology, graphs and networks, probability/statistics, and algorithm design, in conversation
-
. Preferred Qualifications: Education in plant pathology, plant biology, microbial biology, environmental microbiology, evolutionary biology. Experience in microbial manipulations (culturing, DNA isolation
-
, developing novel algorithms for pattern detection, extreme event attribution, and seasonal forecasting. Lead development of innovative visualization techniques and interpretable machine learning methods (30
-
of genetics, genomics, biochemistry, molecular biology, cell biology and evolutionary genetics. Candidates whose research programs will synergize with the diverse research of MBG and other units in CALS
-
algorithm-based technologies in service occupations, with a focus on how collective bargaining and other forms of collective worker voice influence these strategies and worker outcomes. The US research will
-
that the annotation models implemented match user needs and expectations Translate findings into requirements for the engineering team to inform the algorithms, models, annotations, and ultimately the data is made
-
Systems will participate in the research efforts of developing systems integration, analysis, design, control, and/or optimization models and algorithms for smart energy systems to enable smart and healthy