91 machine-learning-phd-in-netherland Postdoctoral research jobs at Princeton University
Sort by
Refine Your Search
-
discovery. The successful candidate will develop new, openly accessible datasets and machine learning models for modeling redox-active solid-state materials. Candidates who are nearing completion
-
are particularly encouraged to apply. Candidates will be expected to devote themselves to research and writing and may teach not more than one course per semester. When teaching, successful candidates will hold the
-
, to study novel renewable energy technologies. The candidates are expected to have a PhD degree in Chemical Engineering or related field, and have experience with optimization (theory, modeling, and tools
-
on democratic political processes and institutions. PhD required. Each post-doctoral associate will pursue research and contribute to the intellectual life of the Center, the Princeton School of Public and
-
continued funding; those hired at more senior ranks may have multi-year appointments. The ideal applicant will be highly motivated; good communication skills; have (or expect to have) a PhD in Molecular
-
who are unable to upload unofficial transcripts may send official transcripts to Politics Postdoc Search, Department of Politics, 001 Fisher Hall, Princeton University, Princeton, NJ 08540. A PhD is
-
contributions and expertise *Names and contact information for three references PhD is expected by the start date. Appointments are for one year, with the possibility of renewal based on continued funding and
-
research and may teach up to two courses per year, subject to sufficient enrollments and with the approval by the Office of the Dean of the Faculty. The initial appointment is for one year with
-
significant independence in selection of their research directions within their departments and can acquire a breadth of expertise by working with multiple faculty members.We value building a culturally diverse
-
biophysics -experimental and/or computational genomics -computer science, statistics, and/or machine learning with applications relevant to genomics -bioinformatics -population genetics / genomics