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Field
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Neuroscience Lab (PI: Akshay Maggu, PhD) at the Department of Speech, Language, and Hearing Sciences at the University of Connecticut is seeking a postdoctoral fellow to join their team to work on projects
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and address will not be disclosed to the shortlisting panel. CVs will not be considered as part of the shortlisting process. The University celebrates the rights of freedom of speech and academic
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Contributing to patent applications Supervising students (if desired) Your profile Your Scientific Qualifications PhD degree in Biology / Life Sciences / Biotechnology / Biochemistry or related fields Excellent
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researchers, external labs, and industrial partners. Candidate Profile: Required qualifications : PhD in Mineral Processing, Mining Engineering, Georesources Engineering, or related field. Proven experience in
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, computational physics, computational materials science, inverse problems, signal processing, x-ray science etc. are encouraged to apply. Position Requirements PhD completed in the past 5 years or soon to be
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. To achieve the objective of the project, the activities will be grouped into 3 tasks: (1) Routine operation of the thermochemical heat storage apparatus : For this, the selected candidate will take charge of
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‘best-practices’ in semiconductor processing. Qualifications A successful candidate should have: M.S. or PhD in Physics, Electrical Engineering, Materials Science, or related Engineering discipline
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work in: Renewable energy systems (solar, wind, smart grids) Advanced digital technologies (Industry 4.0, IoT, automation) Green process engineering (circular-economy methods, low-impact design) GTI’s
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appropriate. Present findings in internal seminars and external conferences. Mentor PhD and MPH students working on related projects. Contribute to grant applications and related products that support both
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Intelligence, or a closely related field Solid experience in one or more of the following: NLP, speech processing, human-AI interaction, or agentic-AI systems Strong programming skills in Python and familiarity