-
, preferred. Experience with motion analysis, wearable sensors, or signal processing, preferred. Proficiency in programming languages such as Python or Java/Kotlin (for Android), preferred. Background in game
-
instrumentation, including autonomous gliders. City: New Brunswick State: NJ Equipment Utilized: Field Equipment: CTD sensors (Seabird, RBR), Rosette/Niskin bottle casts for water collection, and associated water
-
. This role offers an exciting opportunity to work on developing and validating models for wearable sensors aimed at improving human movement, rehabilitation, and fitness engagement. An important component of
-
Ocean. A second site, Mt. Soledad, was located 3-km inland from the Scripps Pier at an elevation of 250-m and housed Scanning Cloud Radars (SACRs) and a subset of the AMF remote sensors, including a
-
developments, algorithmic implementation, and analysis. Experience with electronic structure and dynamics, non-adiabatic molecular dynamics, and coding is strongly selected for. Please seehttps
-
developments, algorithmic implementation, and analysis. Experience with electronic structure and dynamics, non-adiabatic molecular dynamics, and coding is strongly selected for. Please seehttps
-
working under the supervision of Prof. Jaideep Vaidya (the PI and Director, I-DSLA) to develop and analyze privacy-preserving solutions for biomedical data research, implementing the developed algorithms
-
limited to artificial intelligence, computing theory (algorithms, complexity), data science, statistics, discrete mathematics (graph theory, combinatorics), game theory, machine learning, optimization
-
: CTD sensors (Seabird, RBR), Rosette/Niskin bottle casts for water collection, and associated water sampling for phytoplankton pigments, phytoplankton, nutrients, and carbonate chemistry. Optical
-
storage units. Field research instrumentation: CTDs, LISST sensors, drift arrays, sediment coring equipment, and other oceanographic gear. Software: Microsoft Office Suite (Excel, Word, PowerPoint), R, SPSS