Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
-
Field
-
the development of new imaging protocols. Minimum Requirements: Ph.D. or equivalent doctorate (e.g. Sc.D., M.D., D.V.M.) in biomedical engineering, electrical or computer engineering, medical physics
-
collaborative and inclusive research environment. Qualifications Required Ph.D. in engineering, computer science, or a closely related discipline. Research experience developing and applying statistical, machine
-
the EU Research Framework Programme? Not funded by a EU programme Reference Number HR25_00467 Is the Job related to staff position within a Research Infrastructure? No Offer Description The University
-
Lab seeks a highly motivated applicant with a strong background in the development, deployment and use of custom optical instruments for imaging and/or precision measurement and an interest in studying
-
, digital image correlation (DIC), and microscopic analysis. Practical proficiency in MS Office and MATLAB. At least 12 years of professional experience in a technical field focused on materials engineering
-
expertise and experience in radiation detection technologies, PET and/or SPECT instrumentation, as well as related physics and computing methodologies, and image-guided therapy applications. Assessment
-
in invertebrates. Specifically, the Leifer Lab seeks a highly motivated applicant with a strong background in the development, deployment and use of custom optical instruments for imaging and/or
-
sciences Biological sciences » Biological engineering Researcher Profile Recognised Researcher (R2) Positions PhD Positions Application Deadline 15 Sep 2026 - 23:59 (Europe/Lisbon) Country Portugal Type
-
year depending on satisfactory performance, the availability of funds and/or work for the position, and meeting standard University employment requirements. This position is not eligible for H-1B visa
-
analysis and interpretation of multidimensional microscopy datasets, integrating image processing, spectroscopy, diffraction, and computational methods to extract meaningful scientific insights. 3) Lead the