79 programming-"https:"-"Inserm"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "Dr" "UCL" positions at La Trobe University in Australia
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StudyLink, and use the scholarship code SRS-25036. Please note - as part of your application you are not required to identify a potential supervisor - Dr Raymond Madden is the designated supervisor
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opportunities to develop their skills, networks and careers. Supervisor Dr Anne-Marie Laslett - NHMRC Emerging Leadership Fellow CAPR Are you eligible to apply? To be eligible to apply for this scholarship
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the world. Ideal applicants will have a solid background in AI, machine learning, control theory or quantitative finance. Applicants with advanced programming skills (Python/C++); and a desire to publish in
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hands-on experience with Python and ML libraries (PyTorch/TensorFlow) experience with signal/image processing or computer vision for video strong programming and data engineering skills Desirable
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. The position also collaborates with internal stakeholders, manages administrative tasks for alumni events, and maintains records to support data reporting and program evaluation. Skills and Experience To be
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$2,500 instalments following the census date each semester. Background The La Trobe University Regional Pathway Program has a powerful impact on the participation of regional students in higher education
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grants are stewarded effectively. Key responsibilities include program administration, coordination of regular meetings to promote grant opportunities, research into the philanthropic sector, and
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and bespoke donor experiences, and drive continuous improvement in engagement programs. Champion La Trobe’s values of Connectedness, Innovation, Accountability, and Care. About You You are a strategic
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(Undergraduate) Postgraduate degrees Graduate research degrees Online courses Short courses See all Study with us Plan your way into La Trobe Choose La Trobe Find your course by ATAR Aspire early entry program
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possibilities. At La Trobe, you’ll gain essential skills in programming, machine learning and data analysis, preparing you to lead innovation in areas such as digital healthcare, smart manufacturing, sustainable