1,138 data-"https:"-"https:"-"https:"-"https:"-"Tampere-University" Postdoctoral positions in United States
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on conduction system diseases. To identify these pathways, the postdoc will analyze and integrate data from mouse models for different diseases, human tissue, human iPSC-derived pacemaker-like cells and cutting
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methods, molecular biology, and behavioral assays. This position offers the opportunity to lead experiments, analyze data, publish impactful findings, and present at scientific conferences—making it an
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AgriLife and make a difference in the world! Position Information The Texas A&M AgriLife Research and Extension Center at Stephenville are seeking a highly motivated full-time postdoctoral research
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U.S. Department of Energy (DOE) | Washington, District of Columbia | United States | about 21 hours ago
powering AI data centers and new manufacturing. Critical Minerals: Support implementation activities related to President Trump’s Executive Orders and Presidential Memorandums for critical minerals. Conduct
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expertise and a strong publication record utilizing advanced statistical modeling and missing data techniques, specifically multiple imputation. Strong foundational knowledge of pediatric health and clinical
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data processing and analysis techniques is a plus Strong written and oral communication skills Ability to model Argonne’s core values of impact, safety, respect, integrity, and teamwork Candidates with a
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the appointment start date; demonstrate strong expertise in computational biology or data-driven modeling, with experience in one or more of the following areas: machine learning or deep learning, structural
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resume/CV. Note: You will be asked to submit the names and contact information of three professional references as part of the application process. All application materials should specifically address how
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Benefits Eligible Postdoctoral Fellows may be eligible to receive certain UNM benefits . See the Benefits home page for more information. Position Summary Position Summary The UNM Department of Dermatology
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length scales Develop machine learning algorithms to support process optimization, predictive modeling, and intelligent manufacturing control Integrate simulation tools with in-situ sensor data from