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Computing Center (MGHPCC). You will help with optimization of code and utilization of scheduler features to maximize throughput of jobs. In addition, you will work with research groups to help identify
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- 23:59 (UTC) Country Brazil Type of Contract To be defined Job Status Not Applicable Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to
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2026 - 12:00 (Europe/Paris) Country France Type of Contract Permanent Job Status Full-time Hours Per Week 35 Offer Starting Date 1 Sep 2026 Is the job funded through the EU Research Framework Programme
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will work under the direction of Prof. Abhishek Halder and will conduct interdisciplinary research in the areas of stochastic control, optimal mass transport, and the Schrödinger bridge. They will pursue
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particle trapping and related measurement techniques. Relevant skills include understanding of fundamental principles, design, optimization, computational electromagnetic, mechanical and thermal modeling
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to analyze and optimize system behavior before physical implementation Development of algorithmus and control software for full automation of long-term and high-troughput operando experiments Implementation
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focused ultrasound (pFUS) to modulate the tissue microenvironment, optimize islet delivery, and improve engraftment and function in both preclinical and clinical settings. We are seeking highly motivated
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processes, regularity theory of nonlinear degenerate and singular elliptic and parabolic PDEs, free boundary problems, optimal control of free boundary systems with distributed parameters. Current areas
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simulation and optimization of PDE-based problems involving uncertainties or stochastic components. We are looking for an internationally recognized individual who is a leader in the field of Numerical
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and machine learning techniques for the design of superconducting qubits, one of the leading qubit modalities used in today’s quantum computers. The optimal design of superconducting qubits is a highly