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Field
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biological and chemical processes. Conduct R&D on the complete treatment and separation process o evaluate the effects of impurities in input gas, methods of input gas pretreatment, and output gas post
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equivalent) in hand by September 1, 2025. Experience using advanced statistics to answer ecological questions, programming in R, Matlab or other statistical languages. Preferred Qualifications: Ph.D
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. Software and programming experience may include: R, STATA, Esri Arcmap, python, Leaflet, PostgreSQL, CSS, JavaScript, JQuery, Bootstrap, PHP, QGIS, PostGIS, Mapserver, Tableau, Openlayers, Geoserver, R Shiny
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cancer in Barrett’s esophagus. Experience in analysing large datasets in R is essential but will also involve the use image analysis software such as Qpath. About You We seek an ambitious and self
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clinical data with statistical methods (e.g., R, SPSS) Experience in neurophysiological techniques (e.g., transcutaneous magnetic stimulation, near infrared spectroscopy, evoked potentials, electromyography
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headset and eyetracker, Vicon motion capture system, Rokoko motion capture system, Pupil Core eye tracker. Software: Python, C#, C++, R, Unity, OpenXR, MakeHuman, MotionBuilder, Maya. Physical Demands and
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development of an open R&D playbook—freely accessible to researchers worldwide—to accelerate the discovery, maturation, and deployment of scientifically validated microbial biofertilizers. DTU is coordinating
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biomedical sciences, bioinformatics, clinical research or related field strong clinical trial experience (design, execution, and regulatory submissions) proficiency in bioinformatics, statistical analysis (R
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oncology-specific NLP models with peer-reviewed publications is preferred. Strong quantitative skills are mandatory, including analysing large-scale databases (e.g., Hospital Authority EHR) using R/STATA/SAS
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, analyzing and interpreting common stroke and/or TBI rehabilitation assessments and treatments Experience in analyzing clinical data with statistical methods (e.g., R, SPSS) Experience in neurophysiological