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, development of custom software and machine learning techniques for advanced image-array data analysis. Achievement of the expected progression within Post Doc and Senior Post Doc is transferable between
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We are seeking creative and energetic candidates with strong experience in multimodal machine learning and human behavior analysis and modeling for a Pre-Doc Specialist position in the Robotics
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, Bioinformatics, Computer Sciences, or related field, or an equivalent terminal degree (MD, DVM, PharmD or MD/PhD), and at least 1-2 years of postdoctoral training. The selected individual must positively and
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teach courses in the Master of Science in Biomedical Informatics (https://bmi.bsd.uchicago.edu ) program. These positions are renewable. Compensation is dependent on qualifications. These positions
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Scholar Salary range: A reasonable salary range estimate for this position is $66,737 - $80,034 based on level experience. The posted UC academic salary scales (https://www.ucop.edu/academic-personnel
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) which cover python basics, introductory statistics, and introductory machine learning, as well as developing new courses for the program. CSS teaching responsibilities will also include graduate courses
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Supervised: N/A B. Operating Budget: N/A C. Education & Experience: Must be currently licensed as a Doctor of Podiatric Medicine (DPM), Medical Doctor (MD), Doctor of Osteopathy (DO), or possess a post
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Supervised: N/A B. Operating Budget: N/A C. Education & Experience: Must be currently licensed as a Doctor of Podiatric Medicine (DPM), Medical Doctor (MD), Doctor of Osteopathy (DO), or possess a post
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Position Details Position Information Recruitment/Posting Title Post Doc Associate - Carman Feb 2026 Department FHS IFNH Salary Details 63,968.00 Offer Information The final salary offer may be
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 6 days ago
networks or similar machine learning technologies applied to DNA; Preferential: Experience with transcription factor motif discovery; Proficiency in high-throughput sequence alignment methods; Candidates who