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the opportunity to develop their own research algorithms suitable for use with SBG-like datasets. This is a unique and rare opportunity for an early-career scientist to advance their research interests
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include remote sensing algorithm development, modeling studies, data fusion, sensor development, and/or snow satellite mission concept studies. Participation in the design and execution of field campaigns
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retrieval algorithm development with focus on using the polarimetric signals, the new FIR or sub-mm bands, and/or the ML/AI approach; (3) ML/AI application on system/pattern tracking on satellite images
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developing light curve detrending and transit search algorithms. For each of these areas, we anticipate opportunities to work with current data and to obtain new observations of transiting exoplanets with
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opportunity would be most suitable for an individual: with significant experience manipulating or developing scientific applications with programming languages for thermal modeling and planetary data analysis
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System modeling - Statistics and data science (especially, multivariate statistics, Bayesian statistics) - Remote sensing theory (e.g., radiative transfer physics; algorithm development) - Remote sensing
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are not limited to: Learn research techniques to develop algorithms and models for the simulation of field data Participate in experimental activities such as research design, data collection, technical
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are not limited to: Learn research techniques to develop algorithms and models for the simulation of field data Participate in experimental activities such as research design, data collection, technical
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ratios. Once we have developed the algorithm we can then adapt it to broadly apply to a wide range of invasive arthropod and tick species. Protein-to-DNA alignments and gene prediction will be conducted
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collects physiologic and biologic data in extreme environments and utilizes this data to develop novel prediction algorithms of acute mountain sickness, heat exhaustion, cold injury, and other environmental