Postdoctoral Associate
Cambridge, MA Β· On-site +1
POSTDOCTORAL ASSOCIATE, Mechanical Engineering, will work under the direction of Prof. Sherrie Wang to develop deep learning methods for hyper-local weather forecasting with uncertainty
Cambridge, MA Β· On-site +1
POSTDOCTORAL ASSOCIATE, Mechanical Engineering, will work under the direction of Prof. Sherrie Wang to develop deep learning methods for hyper-local weather forecasting with uncertainty
Cambridge, MA Β· On-site +1
POSTDOCTORAL ASSOCIATE, Mechanical Engineering, will work under the direction of Prof. Sherrie Wang to develop deep learning methods for hyper-local weather forecasting with uncertainty
Boston, MA Β· Remote
$60K - $85K/yr
About the Opportunity Northeastern University in Boston, Massachusetts is seeking a Postdoctoral Research Associate with strong research interests and expertise in investigating the social
Boston, MA Β· Remote
$60K - $85K/yr
About the Opportunity Northeastern University in Boston, Massachusetts is seeking a Postdoctoral Research Associate with strong research interests and expertise in investigating the social
Boston, MA Β· On-site +1
About the Opportunity About the Institute Do you want to be part of an exciting new Institute focused on combining human and machine intelligence into working AI solutions? We are launching a
Boston, MA Β· On-site +1
About the Opportunity About the Institute Do you want to be part of an exciting new Institute focused on combining human and machine intelligence into working AI solutions? We are launching a
Cambridge, MA Β· On-site +1
$135K - $170K/yr
MERL is seeking a highly motivated Postdoctoral Research Fellow in AI for Science to join our research team. This position offers a distinctive opportunity for early-career researchers to pursue
Cambridge, MA Β· On-site +1
$135K - $170K/yr
MERL is seeking a highly motivated Postdoctoral Research Fellow in AI for Science to join our research team. This position offers a distinctive opportunity for early-career researchers to pursue
Cambridge, MA Β· On-site +1
$64K - $65K/yr
At Johnson & Johnson,we believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented, treated, and cured,where treatments are
Cambridge, MA Β· On-site +1
$64K - $65K/yr
At Johnson & Johnson,we believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented, treated, and cured,where treatments are
Cambridge, MA Β· On-site +1
$64K - $65K/yr
At Johnson & Johnson,we believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented, treated, and cured,where treatments are
Cambridge, MA Β· On-site +1
$64K - $65K/yr
At Johnson & Johnson,we believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented, treated, and cured,where treatments are
Boston, MA Β· On-site +1
$155K - $165K/yr
Description: The Medical Science Liaison (MSL) for Amneal's Northeast Territory (MA, CT, ME, NH, VT, RI, NJ) is a field-based professional with scientific, clinical, and therapeutic area expertise.
Boston, MA Β· On-site +1
$155K - $165K/yr
Description: The Medical Science Liaison (MSL) for Amneal's Northeast Territory (MA, CT, ME, NH, VT, RI, NJ) is a field-based professional with scientific, clinical, and therapeutic area expertise.
Boston, MA Β· On-site +1
$155K - $165K/yr
Description: The Medical Science Liaison (MSL) for Amneal's Northeast Territory (MA, CT, ME, NH, VT, RI, NJ) is a field-based professional with scientific, clinical, and therapeutic area expertise.
Boston, MA Β· On-site +1
$155K - $165K/yr
Description: The Medical Science Liaison (MSL) for Amneal's Northeast Territory (MA, CT, ME, NH, VT, RI, NJ) is a field-based professional with scientific, clinical, and therapeutic area expertise.
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Cambridge, MA β’ On-site, Remote
Full-time
Re-posted 17 hours ago
POSTDOCTORAL ASSOCIATE, Mechanical Engineering, will work under the direction of Prof. Sherrie Wang to develop deep learning methods for hyper-local weather forecasting with uncertainty quantification. The position is supported by a NASA-funded project focused on probabilistic downscaling of global weather models using satellite remote sensing, generative AI models, and conformal prediction. The research integrates numerical weather prediction (NWP) outputs, weather station observations, and satellite data to generate accurate, uncertainty-aware local forecasts for applications in disaster response and energy systems. Will develop and implement machine learning models for local weather forecasting and uncertainty quantification, including probabilistic and generative approaches; integrate and analyze heterogeneous datasets, including numerical weather prediction outputs, weather station observations, and satellite remote sensing data; design and run experiments to evaluate model performance and generalization across locations and conditions; contribute to the preparation of manuscripts, technical reports, and presentations for scientific and sponsor-facing dissemination; collaborate with project team members and external partners to align research with application needs in energy and disaster response; mentor graduate and undergraduate students and contribute to a collaborative research environment; and participate in project meetings and related research activities as needed.
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Human resource programs administration
1 - 10 Employees
Cambridge, MA, US
2014