228 process-engineering-"https:"-"https:"-"https:"-"https:"-"https:" positions in Switzerland
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- EPFL
- University of Basel
- Empa
- ETH Zurich
- University of Zurich
- University of St. Gallen
- Dallas County Community College District
- University of Bern
- Cornell University
- Swiss Federal Institute of Technology Lausanne, EPFL
- University of Zurich (UZH)
- Aalborg University
- Austin Community College District
- CNRS
- Ecole polytechnique fédérale de Lausanne
- Hochschule Luzern - Wirtschaft
- University of Geneva
- Université de Genève
- EPFL - Ecole Polytechnique Fédérale de Lausanne
- EPFL SV BMI UPRAMDYA
- Ecole Polytechnique Federale de Lausanne
- Friedrich Miescher Institute for Biomedical Research
- GRADUATE INSTITUTE
- Graduate Institute of International and Development Studies, Geneva
- HES-SO Genève
- Institut de Recherche pour le Développement (IRD)
- Loyola University
- Swiss Federal Institute for Forest, Snow and Landscape Research WSL
- University of Basel (UB)
- University of Bern | Bern University Hospital, Inselspital
- University of Bern | Inselspital, Bern University Hospital
- University of Geneva-School of pharmaceutical sciences
- 22 more »
- « less
-
Field
- Computer Science
- Medical Sciences
- Engineering
- Materials Science
- Biology
- Chemistry
- Physics
- Environment
- Earth Sciences
- Statistics
- Social Sciences
- Science
- Mathematics
- Electrical Engineering
- Psychology
- Humanities
- Design
- Education
- Business
- Arts and Literature
- Linguistics
- Economics
- Sports and Recreation
- 13 more »
- « less
-
are central parts of the position. You will teach and supervise across several of our programmes, including Medialogy, Robotics, Artificial Intelligence Engineering, and Artificial Intelligence, Vision
-
how long a process can be followed. During conventional 3D imaging, the goal is to resolve every single voxel of the 3D volume. However, the underlying dynamic changes can be temporally sparse and
-
candidate must have Master studies in nanoscience, physics or any related engineering. Previous experience in fabrication or transport measurements is desired but not compulsory. We offer you Excellent
-
, computational biology, computer science, data engineering or a related field. • Experience designing, deploying and operating large-scale genomic or biomedical data processing infrastructures
-
assays for detecting and characterizing individual nanoclusters • Engineering and purify protein nanopores with tailored sensitivity to size, charge, and etc. • Developing data analysis pipelines and
-
collaboration and visiting opportunities; EPFL is an international and world-class engineering institution that hosts state-of-the-art experimental facilities and a rich and vibrant scientific and
-
candidates with A PhD in machine learning, computer science, applied mathematics, statistics, physics, engineering, or a closely related field, completed or near completion. Demonstrated expertise in
-
communications at University of Basel in the center of Basel Your profile BS or MS degree in physics, photonics, engineering, or a related field Highly motivated for applied experimental laboratory work
-
, Engineering , Life Science Job Type Postdoctoral Employment - Hours Full time Duration Fixed term Qualification PhD Sector Academia Apply on website (This will open in a new window from which you will be
-
. Some technologies may be learned during the project, but solid Python skills and hands-on experience with graphs and GNNs are essential. Degree in computer science, software engineering, data science