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, environmental modelling and geospatial data science. The position is part of Vertical Africa (VERTICAF), an interdisciplinary research project funded by the Swiss National Science Foundation (SNSF). We
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illness and substance use disorders. Research activities are supported by robust clinical, regulatory, and data management infrastructure and are closely integrated with clinical services, enabling
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the production of the CBC catalog. The successful candidate is expected to have strong analytical skills and experience with signal processing, Bayesian statistics and machine learning. Exemplary
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methods. Experience with NGS or genomic data analysis. Evidence of scientific productivity, including first-author publication experience. Strong analytical, problem-solving, and scientific communication
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analytical models and systems and provides solutions and analyses to support strategic and tactical decisions. Adheres to University and unit-level policies and procedures and safeguards University assets
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strategies and market positioning. Job description The successful candidate is expected to contribute to the overall objectives of the project by being involved in design, implementation, data collection, and
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structures and regulatory elements. Integrate multiple sources of genomic and functional data to prioritize candidates for experimental validation. Work closely with laboratory members to guide experimental
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, and PhD and master student supervision Profile PhD (or nearing completion of) Background in experimental neuroscience, computational neuroscience, and/or robotics Strong computational and analytical
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 3 months ago
(awarded within two years); PREFERRED: Demonstrated experience in data analytics, experimental design, and community engagement; strong project management and communication skills; and field-based research
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, ICP-MS, TOC, or related analytical techniques Environmental nanotechnology Water and wastewater treatment processes Colloid and interface science Environmental fate and transport modeling Data analysis